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todaymatchprediction
Most recent job postings at todaymatchprediction
via Upwork
posted_at: 3 days agoschedule_type: Contractor and Temp worksalary: 30–40 an hourwork_from_home: 1
We are seeking a talented data scientist proficient in machine learning and sports analytics to address a specific bug within our existing algorithm for predicting football match outcomes. The current algorithm has been performing well overall; however, we have identified a bug causing inaccurate predictions for matches played in adverse weather conditions, particularly heavy rain. The candidate... will be responsible for identifying the root cause
We are seeking a talented data scientist proficient in machine learning and sports analytics to address a specific bug within our existing algorithm for predicting football match outcomes. The current algorithm has been performing well overall; however, we have identified a bug causing inaccurate predictions for matches played in adverse weather conditions, particularly heavy rain. The candidate... will be responsible for identifying the root cause of this issue, devising solutions to mitigate the bug's impact, and implementing fixes to ensure accurate predictions regardless of weather conditions.
Responsibilities:
-Bug Investigation: Conduct a thorough analysis of the existing algorithm to identify the specific issue causing inaccurate predictions for matches played in heavy rain.
-Data Examination: Review historical match data to understand patterns and correlations between adverse weather conditions and prediction inaccuracies.
-Root Cause Analysis: Identify the root cause of the bug, whether it stems from data preprocessing, feature selection, model training, or other factors.
-Solution Design: Devise strategies to address the identified bug and mitigate its impact on prediction accuracy. This may involve adjusting model parameters, incorporating additional features, or implementing specific handling mechanisms for adverse weather conditions.
-Implementation: Implement the proposed fixes and modifications to the algorithm, ensuring compatibility with existing codebase and maintaining overall performance.
-Testing and Validation: Conduct rigorous testing and validation to verify the effectiveness of the bug fixes and ensure accurate predictions for matches played in heavy rain.
-Documentation: Document the bug-fixing process, including the identified bug, proposed solutions, changes made to the algorithm, and validation results.
Requirements:
-Proficiency in Python programming language and relevant libraries (e.g., pandas, scikit-learn, TensorFlow, Keras).
-Strong background in machine learning, statistical modeling, and data analysis.
-Experience working with sports data or football analytics is highly desirable.
-Demonstrated experience in troubleshooting and debugging issues within predictive algorithms.
-Excellent problem-solving skills and attention to detail.
-Effective communication skills to collaborate with stakeholders and present findings.
-Ability to work independently and efficiently within a defined timeframe.
-Availability for hourly-based work and willingness to provide regular progress updates Show more details...
Responsibilities:
-Bug Investigation: Conduct a thorough analysis of the existing algorithm to identify the specific issue causing inaccurate predictions for matches played in heavy rain.
-Data Examination: Review historical match data to understand patterns and correlations between adverse weather conditions and prediction inaccuracies.
-Root Cause Analysis: Identify the root cause of the bug, whether it stems from data preprocessing, feature selection, model training, or other factors.
-Solution Design: Devise strategies to address the identified bug and mitigate its impact on prediction accuracy. This may involve adjusting model parameters, incorporating additional features, or implementing specific handling mechanisms for adverse weather conditions.
-Implementation: Implement the proposed fixes and modifications to the algorithm, ensuring compatibility with existing codebase and maintaining overall performance.
-Testing and Validation: Conduct rigorous testing and validation to verify the effectiveness of the bug fixes and ensure accurate predictions for matches played in heavy rain.
-Documentation: Document the bug-fixing process, including the identified bug, proposed solutions, changes made to the algorithm, and validation results.
Requirements:
-Proficiency in Python programming language and relevant libraries (e.g., pandas, scikit-learn, TensorFlow, Keras).
-Strong background in machine learning, statistical modeling, and data analysis.
-Experience working with sports data or football analytics is highly desirable.
-Demonstrated experience in troubleshooting and debugging issues within predictive algorithms.
-Excellent problem-solving skills and attention to detail.
-Effective communication skills to collaborate with stakeholders and present findings.
-Ability to work independently and efficiently within a defined timeframe.
-Availability for hourly-based work and willingness to provide regular progress updates Show more details...
via University Of Miami Jobs
schedule_type: Full-time
Current Employees:
If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet...
Research Associate Professor in Subseasonal to Decadal Climate Prediction
Position Description:
The University of Miami Rosenstiel School of Marine, Atmospheric
Current Employees:
If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet...
Research Associate Professor in Subseasonal to Decadal Climate Prediction
Position Description:
The University of Miami Rosenstiel School of Marine, Atmospheric and Earth Science invites applications for a Research Associate Professor position in the field of Subseasonal to Decadal Climate Prediction. This position offers a unique opportunity to contribute to cutting-edge research in climate science, working alongside a diverse and talented group of scientists and educators.
Responsibilities:
• Conduct original research in the field of subseasonal to decadal climate prediction, with an emphasis on advancing our understanding of climate variability and change.
• Develop and apply state-of-the-art climate models and observational datasets to address research questions related to climate prediction and predictability.
• Publish research findings in peer-reviewed journals and present results at national and international conferences.
• Collaborate with colleagues and external partners on interdisciplinary research projects.
• Mentor graduate students and postdoctoral researchers, fostering their growth and development.
• Seek external funding to support research activities and projects.
• Utilize your experience in science communication and outreach to disseminate research findings to a broader audience, including the general public and policymakers.
• Apply your research-to-operations experience to bridge the gap between cutting-edge climate research and practical applications, contributing to real-world decision-making and solutions.
• Demonstrate a proven record of successful collaboration with governmental organizations, working on climate-related projects and initiatives, and contributing to the development of climate prediction products based on scientific research.
• Leverage your experience with a cooperative institute to enhance collaborative research efforts and strengthen partnerships between academia and government agencies.
Qualifications:
• Ph.D. in Atmospheric Science.
• Over 10 years of experience in climate research and prediction.
• A strong record of peer-reviewed publications in climate science.
• Expertise in climate science communication and outreach.
• Expertise in climate modeling, observational data analysis, or related areas of climate prediction.
• Proven ability to secure external research funding.
• Effective communication skills, both written and oral, to disseminate research findings and collaborate with a diverse community of scientists and students.
• A commitment to promoting diversity, equity, and inclusion in research and education.
• A demonstrated ability to collaborate with governmental organizations to bridge the gap between research and applications.
The application material should include:
• Letter of interest that describes your anticipated contributions to scholarship, teaching, and service in the Rosenstiel School (suggested limit of 2 pages)
• Current CV
• Research statement (2 pages)
• Teaching statement (2 pages)
• A statement of commitments and contributions to diversity, equity, and inclusion (1 page)
• The names of three colleagues who can provide us with a reference
The Rosenstiel School of Marine, Atmospheric, and Earth Science at the University of Miami is a world leader in Earth sciences. Fundamental and interdisciplinary research are focused on understanding the chemical, physical and biological processes controlling the evolution of the marine, atmospheric and terrestrial environments, and the associated human-environment interactions.
The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.
Job Status:
Full time
Employee Type:
Faculty Show more details...
If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet...
Research Associate Professor in Subseasonal to Decadal Climate Prediction
Position Description:
The University of Miami Rosenstiel School of Marine, Atmospheric and Earth Science invites applications for a Research Associate Professor position in the field of Subseasonal to Decadal Climate Prediction. This position offers a unique opportunity to contribute to cutting-edge research in climate science, working alongside a diverse and talented group of scientists and educators.
Responsibilities:
• Conduct original research in the field of subseasonal to decadal climate prediction, with an emphasis on advancing our understanding of climate variability and change.
• Develop and apply state-of-the-art climate models and observational datasets to address research questions related to climate prediction and predictability.
• Publish research findings in peer-reviewed journals and present results at national and international conferences.
• Collaborate with colleagues and external partners on interdisciplinary research projects.
• Mentor graduate students and postdoctoral researchers, fostering their growth and development.
• Seek external funding to support research activities and projects.
• Utilize your experience in science communication and outreach to disseminate research findings to a broader audience, including the general public and policymakers.
• Apply your research-to-operations experience to bridge the gap between cutting-edge climate research and practical applications, contributing to real-world decision-making and solutions.
• Demonstrate a proven record of successful collaboration with governmental organizations, working on climate-related projects and initiatives, and contributing to the development of climate prediction products based on scientific research.
• Leverage your experience with a cooperative institute to enhance collaborative research efforts and strengthen partnerships between academia and government agencies.
Qualifications:
• Ph.D. in Atmospheric Science.
• Over 10 years of experience in climate research and prediction.
• A strong record of peer-reviewed publications in climate science.
• Expertise in climate science communication and outreach.
• Expertise in climate modeling, observational data analysis, or related areas of climate prediction.
• Proven ability to secure external research funding.
• Effective communication skills, both written and oral, to disseminate research findings and collaborate with a diverse community of scientists and students.
• A commitment to promoting diversity, equity, and inclusion in research and education.
• A demonstrated ability to collaborate with governmental organizations to bridge the gap between research and applications.
The application material should include:
• Letter of interest that describes your anticipated contributions to scholarship, teaching, and service in the Rosenstiel School (suggested limit of 2 pages)
• Current CV
• Research statement (2 pages)
• Teaching statement (2 pages)
• A statement of commitments and contributions to diversity, equity, and inclusion (1 page)
• The names of three colleagues who can provide us with a reference
The Rosenstiel School of Marine, Atmospheric, and Earth Science at the University of Miami is a world leader in Earth sciences. Fundamental and interdisciplinary research are focused on understanding the chemical, physical and biological processes controlling the evolution of the marine, atmospheric and terrestrial environments, and the associated human-environment interactions.
The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.
Job Status:
Full time
Employee Type:
Faculty Show more details...
via Ladders
schedule_type: Full-time
The Active Prediction Integration team focuses on the integration of prediction and planning to achieve safe and high-performance autonomous driving. The team is responsible for one of the core algorithmic components of the AI stack that combines basic logic/physics models with advanced uncertainty-aware ML prediction models to reason about how the world evolves in response to candidate robot motions. We are looking for a manager with a strong background
The Active Prediction Integration team focuses on the integration of prediction and planning to achieve safe and high-performance autonomous driving. The team is responsible for one of the core algorithmic components of the AI stack that combines basic logic/physics models with advanced uncertainty-aware ML prediction models to reason about how the world evolves in response to candidate robot motions. We are looking for a manager with a strong background in uncertainty-aware motion prediction and planning, and experience with both machine-learned as well as first-principles (e.g. physics-based) motion and logical reasoning models. The candidate will be responsible for working with the team to set the technical direction, evolve the current architecture and break new ground in further unification of planning, prediction, and perception. The team collaborates closely with multiple groups across Planner and Zoox including ML behavioral modeling, search/optimization, cost design... prediction and perception. As a leader of the Active Prediction Integration team, the candidate will interact and coordinate efforts across multiple such teams and play a critical role in the evolution of the AI stack at Zoox. If you are passionate about working on fundamental robotic decision-making architectures and their deployment on a novel robot platform, we would like to hear from you. Responsibilities Lead the design and development of integrated prediction and planning architectures Set the short and long-term technical direction for the team and collaborate on broader, company-wide directions Collaborate with the team members in technical design considerations, implementation, and on-vehicle testing Coordinate cross-functional initiatives with other teams across Planning, Prediction, and Perception Grow the team by partnering with recruiting and guide the continued professional development of team members Qualifications Extensive experience with AI and/or Robotics Experience with current ML architectures and methodologies Excellent communication and problem-solving skills Experience with managing highly-technical teams of 5+ engineers Relevant experience in the area of autonomous driving with a track record of delivering results in a production environment MS or PhD in Computer Science (or a related field) Bonus Qualifications Experience with GPU/CUDA C++ architectures and algorithms Compensation There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $220,000 to $330,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills
Show more details...
via Glassdoor
posted_at: 20 days agoschedule_type: Temp work
Job Number: P23INT-14
This project focuses on computational model for human drivers. The task will incorporate predicting the behavior of traffic agents, including in dynamic scenes where the agent may interact with or respond to their surroundings. The project involves design and development of an interaction model using probabilistic models and optimization of the agent behavior using... technologies like deep learning, model predictive control,
Job Number: P23INT-14
This project focuses on computational model for human drivers. The task will incorporate predicting the behavior of traffic agents, including in dynamic scenes where the agent may interact with or respond to their surroundings. The project involves design and development of an interaction model using probabilistic models and optimization of the agent behavior using... technologies like deep learning, model predictive control, behavior cloning, and/or reinforcement learning algorithms with a focus on robustness when applied out of distribution
San Jose, CA
Duration
3 Months
Position Introduction
This project focuses on computational model for human drivers. The task will incorporate predicting the behavior of traffic agents, including in dynamic scenes where the agent may interact with or respond to their surroundings. The project involves design and development of an interaction model using probabilistic models and optimization of the agent behavior using technologies like deep learning, model predictive control, behavior cloning, and/or reinforcement learning algorithms with a focus on robustness when applied out of distribution
Key Responsibilities
During the time of the internship, you are expected to:
• * Modeling Behavior Dynamics for predicting social agents
• Build behavior modeling framework to understand and predict interactions between autonomous agents
• Implement the algorithm and analyze it's performance and safety
Minimum Qualifications
• M.S. candidate in robotics, computer science, electrical engineering, or related field
• Research experience in planning, machine learning, and robotics
• Excellent programming skills in C++ and Python
Bonus Qualifications
• Ph.D. candidate in robotics, computer science, electrical engineering, or related field
• Experience with ROS (Robot Operating System), pytorch, tensorflow, or jax
• Publication record of planning or prediction on robotic systems
Years of Work Experience Required
0
Position Keywords
Game theory, Mobile Robots, MPC
Warning:You do not have the permission to access the upload fields on this form. Contact the form owner or portal administrator to request the access Show more details...
This project focuses on computational model for human drivers. The task will incorporate predicting the behavior of traffic agents, including in dynamic scenes where the agent may interact with or respond to their surroundings. The project involves design and development of an interaction model using probabilistic models and optimization of the agent behavior using... technologies like deep learning, model predictive control, behavior cloning, and/or reinforcement learning algorithms with a focus on robustness when applied out of distribution
San Jose, CA
Duration
3 Months
Position Introduction
This project focuses on computational model for human drivers. The task will incorporate predicting the behavior of traffic agents, including in dynamic scenes where the agent may interact with or respond to their surroundings. The project involves design and development of an interaction model using probabilistic models and optimization of the agent behavior using technologies like deep learning, model predictive control, behavior cloning, and/or reinforcement learning algorithms with a focus on robustness when applied out of distribution
Key Responsibilities
During the time of the internship, you are expected to:
• * Modeling Behavior Dynamics for predicting social agents
• Build behavior modeling framework to understand and predict interactions between autonomous agents
• Implement the algorithm and analyze it's performance and safety
Minimum Qualifications
• M.S. candidate in robotics, computer science, electrical engineering, or related field
• Research experience in planning, machine learning, and robotics
• Excellent programming skills in C++ and Python
Bonus Qualifications
• Ph.D. candidate in robotics, computer science, electrical engineering, or related field
• Experience with ROS (Robot Operating System), pytorch, tensorflow, or jax
• Publication record of planning or prediction on robotic systems
Years of Work Experience Required
0
Position Keywords
Game theory, Mobile Robots, MPC
Warning:You do not have the permission to access the upload fields on this form. Contact the form owner or portal administrator to request the access Show more details...
via LinkedIn
posted_at: 6 days agoschedule_type: Full-time
Overview
Spotter, named one of TIME100's Most Influential Companies this year, empowers top YouTube creators to accelerate their business and unleash their full creative potential by giving them access to the capital, knowledge, and community they need to succeed at scale. As the top provider of creator-friendly growth capital, Spotter tailors our investments to meet the unique needs of each... creator we partner with, giving them the freedom to
Overview
Spotter, named one of TIME100's Most Influential Companies this year, empowers top YouTube creators to accelerate their business and unleash their full creative potential by giving them access to the capital, knowledge, and community they need to succeed at scale. As the top provider of creator-friendly growth capital, Spotter tailors our investments to meet the unique needs of each... creator we partner with, giving them the freedom to create without compromise.
Creators are free to reinvest their funds however they choose, from hiring a team, to building their own production studios, and everything in between, all while maintaining total control over their catalogs, their channels, and their future earnings. In addition to funding, Spotter provides creators with in-depth data insights into the performance of their existing content, enabling them to leverage the full value of their library, as well as the value of future uploads and how they can improve performance in the future.
Featured in Forbes, Fast Company, Variety, Axios, and more, Spotter has already deployed over $850 million to YouTube creators to reinvest in themselves and accelerate their growth. Spotter has licensed content that consists of over 725,000 videos, which generate 88 billion monthly watch-time minutes. With our curated premium video catalog, we deliver a unique scaled media solution to Advertisers and Ad Agencies that is transparent, efficient, and 100% brand safe.
What You’ll Do
Help revolutionize how Spotter uses artificial intelligence to provide the most creative ideation workflows on the planet. This groundbreaking role combines AI, machine learning, and cultural analytics to explore new directions for pushing the boundaries of idea generation and storytelling. As a key member of our growing team, you'll leverage cutting-edge AI tools to drive engaging, data-driven content across diverse platforms, with a focus on understanding and optimizing YouTube content at scale.
• Work closely with the content generation team to seamlessly integrate AI tools into the ideation process, elevating both creativity and overall strategy.
• Prototype and refine AI applications designed to predict content performance, gauge user engagement, and identify emerging creative trends.
• Utilize extensive datasets to derive actionable insights, informing and shaping creative strategies to boost content personalization and relevance.
• Develop and refine AI-driven prompts to enhance content quality and consistency, ensuring our creative outputs are both innovative and impactful.
• Analyze and categorize YouTube content to identify and exploit creative genres, formats, and elements that maximize viewer engagement and performance.
• Perform statistical analyses to assess the effectiveness of AI-enhanced content strategies on expanding audience reach and improving retention rates.
• Present innovative product solutions and strategic insights to senior management and key stakeholders, advocating for data-driven approaches in content development.
• Stay up to date on the latest advancements in AI and machine learning, incorporating new technologies and methodologies to stay ahead of industry trends.
Who You Are
• You have substantial experience in AI and machine learning, particularly in applications involving NLP and large language models.
• Your background includes working with large-scale data environments and you possess strong analytical skills combined with a creative mindset.
• You are proficient in Python libraries and frameworks relevant to AI and ML (PyTorch, TensorFlow, etc.)
• Your experience includes developing and leading innovative projects, with a proven track record of leveraging technology to enhance content creativity and audience engagement.
• You demonstrate a deep understanding of content ecosystems, particularly digital and social media platforms like YouTube.
Skills And Qualifications
• Expertise in prompt engineering and generative AI models.
• Experience with tools and platforms for data visualization and analysis to convey complex information succinctly.
• Strong presentation skills, capable of conveying technical insights and strategic vision to non-technical stakeholders.
• A curiosity for continuous learning and a keen interest in exploring new technological frontiers within the AI and content generation fields.
Why Spotter
• Medical insurance covered up to 100%
• Dental & vision insurance
• 401(k) matching
• Stock options
• Complimentary gym access
• Autonomy and upward mobility
• Diverse, equitable, and inclusive culture, where your voice matters.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles that will be performed in Culver City. Actual salaries will vary and may be above or below the range based on various factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current pay range is: $100K-$500K salary per year. The range listed is just one component of Spotter’s total compensation package for employees. Other rewards may include an annual discretionary bonus and equity.
Spotter is an equal opportunity employer. Spotter does not discriminate in employment on the basis of race, religion, creed, color, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic characteristics or information, marital status, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, use of or request for family or medical leave, political affiliation, or any other status protected under applicable federal, state or local laws.
Equal access to programs, services and employment is available to all persons. Those applicants requiring reasonable accommodations as part of the application and/or interview process should notify a representative of the Human Resources Department Show more details...
Spotter, named one of TIME100's Most Influential Companies this year, empowers top YouTube creators to accelerate their business and unleash their full creative potential by giving them access to the capital, knowledge, and community they need to succeed at scale. As the top provider of creator-friendly growth capital, Spotter tailors our investments to meet the unique needs of each... creator we partner with, giving them the freedom to create without compromise.
Creators are free to reinvest their funds however they choose, from hiring a team, to building their own production studios, and everything in between, all while maintaining total control over their catalogs, their channels, and their future earnings. In addition to funding, Spotter provides creators with in-depth data insights into the performance of their existing content, enabling them to leverage the full value of their library, as well as the value of future uploads and how they can improve performance in the future.
Featured in Forbes, Fast Company, Variety, Axios, and more, Spotter has already deployed over $850 million to YouTube creators to reinvest in themselves and accelerate their growth. Spotter has licensed content that consists of over 725,000 videos, which generate 88 billion monthly watch-time minutes. With our curated premium video catalog, we deliver a unique scaled media solution to Advertisers and Ad Agencies that is transparent, efficient, and 100% brand safe.
What You’ll Do
Help revolutionize how Spotter uses artificial intelligence to provide the most creative ideation workflows on the planet. This groundbreaking role combines AI, machine learning, and cultural analytics to explore new directions for pushing the boundaries of idea generation and storytelling. As a key member of our growing team, you'll leverage cutting-edge AI tools to drive engaging, data-driven content across diverse platforms, with a focus on understanding and optimizing YouTube content at scale.
• Work closely with the content generation team to seamlessly integrate AI tools into the ideation process, elevating both creativity and overall strategy.
• Prototype and refine AI applications designed to predict content performance, gauge user engagement, and identify emerging creative trends.
• Utilize extensive datasets to derive actionable insights, informing and shaping creative strategies to boost content personalization and relevance.
• Develop and refine AI-driven prompts to enhance content quality and consistency, ensuring our creative outputs are both innovative and impactful.
• Analyze and categorize YouTube content to identify and exploit creative genres, formats, and elements that maximize viewer engagement and performance.
• Perform statistical analyses to assess the effectiveness of AI-enhanced content strategies on expanding audience reach and improving retention rates.
• Present innovative product solutions and strategic insights to senior management and key stakeholders, advocating for data-driven approaches in content development.
• Stay up to date on the latest advancements in AI and machine learning, incorporating new technologies and methodologies to stay ahead of industry trends.
Who You Are
• You have substantial experience in AI and machine learning, particularly in applications involving NLP and large language models.
• Your background includes working with large-scale data environments and you possess strong analytical skills combined with a creative mindset.
• You are proficient in Python libraries and frameworks relevant to AI and ML (PyTorch, TensorFlow, etc.)
• Your experience includes developing and leading innovative projects, with a proven track record of leveraging technology to enhance content creativity and audience engagement.
• You demonstrate a deep understanding of content ecosystems, particularly digital and social media platforms like YouTube.
Skills And Qualifications
• Expertise in prompt engineering and generative AI models.
• Experience with tools and platforms for data visualization and analysis to convey complex information succinctly.
• Strong presentation skills, capable of conveying technical insights and strategic vision to non-technical stakeholders.
• A curiosity for continuous learning and a keen interest in exploring new technological frontiers within the AI and content generation fields.
Why Spotter
• Medical insurance covered up to 100%
• Dental & vision insurance
• 401(k) matching
• Stock options
• Complimentary gym access
• Autonomy and upward mobility
• Diverse, equitable, and inclusive culture, where your voice matters.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles that will be performed in Culver City. Actual salaries will vary and may be above or below the range based on various factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current pay range is: $100K-$500K salary per year. The range listed is just one component of Spotter’s total compensation package for employees. Other rewards may include an annual discretionary bonus and equity.
Spotter is an equal opportunity employer. Spotter does not discriminate in employment on the basis of race, religion, creed, color, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic characteristics or information, marital status, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, use of or request for family or medical leave, political affiliation, or any other status protected under applicable federal, state or local laws.
Equal access to programs, services and employment is available to all persons. Those applicants requiring reasonable accommodations as part of the application and/or interview process should notify a representative of the Human Resources Department Show more details...
via Qualcomm Careers
posted_at: 23 days agoschedule_type: Full-time
Company:
Qualcomm Technologies, Inc
...
Job Area:
Engineering Group, Engineering Group > ADAS R&D Systems
General Summary:
Job Description
At Qualcomm, we are transforming the automotive industry with our Snapdragon Digital Chassis and building the next generation software defined vehicle (SDV).
Snapdragon Ride is an integral pillar of our Snapdragon Digital Chassis, and since its launch it has gained momentum with a growing number of global automakers
Company:
Qualcomm Technologies, Inc
...
Job Area:
Engineering Group, Engineering Group > ADAS R&D Systems
General Summary:
Job Description
At Qualcomm, we are transforming the automotive industry with our Snapdragon Digital Chassis and building the next generation software defined vehicle (SDV).
Snapdragon Ride is an integral pillar of our Snapdragon Digital Chassis, and since its launch it has gained momentum with a growing number of global automakers and Tier1 suppliers. Snapdragon Ride aims to address the complexity of autonomous driving and ADAS by leveraging its high-performance, power-efficient SoC, industry-leading artificial intelligence (AI) technologies and pioneering vision and drive policy stack to deliver a comprehensive, cost and energy efficient systems solution.
Enabling safe, comfortable, and affordable autonomous driving includes solving some of the most demanding and challenging technological problems. From centimeter-level localization to multimodal sensor perception, sensor fusion, behavior prediction, maneuver planning, and trajectory planning and control, each one of these functions introduces its own unique challenges to solve, verify, test, and deploy on the road.
We are looking for smart, innovative and motivated individuals with strong theory background in deep learning, advanced signal processing, probability & algorithms and good implementation skills in python/C++. Job responsibilities include design and development of novel algorithms for solving complex problems related to behavior prediction for autonomous driving, including trajectory and intention prediction. Develop novel deep learning models to predict trajectories for road users and optimize them to run-in real-time systems. Work closely with sensor fusion and planning team on defining requirements and KPIs. Work closely with test engineers to develop test plans for validating performance in simulations and real-world testing.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 6+ years of Systems Engineering or related work experience.
OR
Master's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 5+ years of Systems Engineering or related work experience.
OR
PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 4+ years of Systems Engineering or related work experience.
Preferred Qualifications:
• Ph.D + 2 years industry experience in behavior and trajectory prediction
• Proficient in variety of deep learning models like CNN, Transformer, RNN, LSTM, VAE, GraphCNN etc
• Experience working with NLP Deep Learning Networks
• Proficient in state of the art in machine learning tools (pytorch, tensor flow)
• 3+ years of experience with Programming Language such as C, C++, Python, etc.
• 3+ years Systems Engineering, or related work experience in the area of behavior and trajectory prediction.
• Experience working with, modifying, and creating advanced algorithms
• Analytical and scientific mindset, with the ability to solve complex problems.
• Experience in Autonomous driving, Robotics, XR/AR/VR
• Experience with robust software design for safety-critical systems
• Excellent written and verbal communication skills, ability to work with a cross-functional team
Principal Duties and Responsibilities:
• Leverages advanced knowledge and experience of ADAS Systems to research, design, develop, and test highly complex systems and algorithms that enable autonomous and self-driving vehicles.
• Develops and enhances highly critical technologies for camera perception; high precision localization; radar perception and lidar perception; precise sensor synchronization and calibration; multi-sensor fusion; estimation and tracking of static and dynamic objects in the environment; behavior prediction of agents; planning of autonomous vehicle decisions, trajectory and speed; and/or autonomous vehicle control.
• Designs innovative AI algorithms for autonomous driving use cases and understands constraints for mapping to embedded ADAS hardware.
• Develops innovative or patentable ideas for complex challenges; designs relevant experiments and implements solutions.
• Facilitates collaboration across organizations (e.g., SW, Test engineers, etc.) for component and end to end testing
• Writes detailed technical documentation and descriptions of research findings for complex projects to ensure engineers can implement research; reviews technical documentation for junior engineers.
Level of Responsibility:
• Works independently with minimal supervision.
• Provides supervision/guidance to other team members.
• Decision-making is significant in nature and affects work beyond immediate work group.
• Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.
• Has a great degree of influence over key organizational decisions.
• Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.
Qualcomm is an equal opportunity employer and supports workforce diversity.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range:
$167,000.00 - $251,000.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer!
If you would like more information about this role, please contact Qualcomm Careers Show more details...
Qualcomm Technologies, Inc
...
Job Area:
Engineering Group, Engineering Group > ADAS R&D Systems
General Summary:
Job Description
At Qualcomm, we are transforming the automotive industry with our Snapdragon Digital Chassis and building the next generation software defined vehicle (SDV).
Snapdragon Ride is an integral pillar of our Snapdragon Digital Chassis, and since its launch it has gained momentum with a growing number of global automakers and Tier1 suppliers. Snapdragon Ride aims to address the complexity of autonomous driving and ADAS by leveraging its high-performance, power-efficient SoC, industry-leading artificial intelligence (AI) technologies and pioneering vision and drive policy stack to deliver a comprehensive, cost and energy efficient systems solution.
Enabling safe, comfortable, and affordable autonomous driving includes solving some of the most demanding and challenging technological problems. From centimeter-level localization to multimodal sensor perception, sensor fusion, behavior prediction, maneuver planning, and trajectory planning and control, each one of these functions introduces its own unique challenges to solve, verify, test, and deploy on the road.
We are looking for smart, innovative and motivated individuals with strong theory background in deep learning, advanced signal processing, probability & algorithms and good implementation skills in python/C++. Job responsibilities include design and development of novel algorithms for solving complex problems related to behavior prediction for autonomous driving, including trajectory and intention prediction. Develop novel deep learning models to predict trajectories for road users and optimize them to run-in real-time systems. Work closely with sensor fusion and planning team on defining requirements and KPIs. Work closely with test engineers to develop test plans for validating performance in simulations and real-world testing.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 6+ years of Systems Engineering or related work experience.
OR
Master's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 5+ years of Systems Engineering or related work experience.
OR
PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 4+ years of Systems Engineering or related work experience.
Preferred Qualifications:
• Ph.D + 2 years industry experience in behavior and trajectory prediction
• Proficient in variety of deep learning models like CNN, Transformer, RNN, LSTM, VAE, GraphCNN etc
• Experience working with NLP Deep Learning Networks
• Proficient in state of the art in machine learning tools (pytorch, tensor flow)
• 3+ years of experience with Programming Language such as C, C++, Python, etc.
• 3+ years Systems Engineering, or related work experience in the area of behavior and trajectory prediction.
• Experience working with, modifying, and creating advanced algorithms
• Analytical and scientific mindset, with the ability to solve complex problems.
• Experience in Autonomous driving, Robotics, XR/AR/VR
• Experience with robust software design for safety-critical systems
• Excellent written and verbal communication skills, ability to work with a cross-functional team
Principal Duties and Responsibilities:
• Leverages advanced knowledge and experience of ADAS Systems to research, design, develop, and test highly complex systems and algorithms that enable autonomous and self-driving vehicles.
• Develops and enhances highly critical technologies for camera perception; high precision localization; radar perception and lidar perception; precise sensor synchronization and calibration; multi-sensor fusion; estimation and tracking of static and dynamic objects in the environment; behavior prediction of agents; planning of autonomous vehicle decisions, trajectory and speed; and/or autonomous vehicle control.
• Designs innovative AI algorithms for autonomous driving use cases and understands constraints for mapping to embedded ADAS hardware.
• Develops innovative or patentable ideas for complex challenges; designs relevant experiments and implements solutions.
• Facilitates collaboration across organizations (e.g., SW, Test engineers, etc.) for component and end to end testing
• Writes detailed technical documentation and descriptions of research findings for complex projects to ensure engineers can implement research; reviews technical documentation for junior engineers.
Level of Responsibility:
• Works independently with minimal supervision.
• Provides supervision/guidance to other team members.
• Decision-making is significant in nature and affects work beyond immediate work group.
• Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.
• Has a great degree of influence over key organizational decisions.
• Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.
Qualcomm is an equal opportunity employer and supports workforce diversity.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range:
$167,000.00 - $251,000.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer!
If you would like more information about this role, please contact Qualcomm Careers Show more details...
via Greenhouse
schedule_type: Full-time
About the Team
DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you...
About the Role
We’re hiring a behavior prediction engineer in our autonomy software team. In this role, you’ll work with multiple stakeholders including Product, Engineering
About the Team
DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you...
About the Role
We’re hiring a behavior prediction engineer in our autonomy software team. In this role, you’ll work with multiple stakeholders including Product, Engineering (hardware and software), and Operations to develop our behavior prediction system. You’ll be researching, designing and implementing enhancements as a core member of the team.
You’re excited about this opportunity because you will…
• Play an integral role on a small and focused team
• Research, develop and implement algorithms for behavior prediction for an autonomous vehicle
• Improve robot’s capabilities by improving its understanding of agents around it
• Leverage simulation to test and improve your algorithms
• Contribute to the architecture of a safe and redundant system
We’re excited about you because…
• Experience in at least one of the following: graph algorithms, optimization, probabilistic robotics (POMDP), computational geometry
• Experience in at least one of the following: computer vision, lidar data processing
• In-depth knowledge of data structures and advanced algorithms.
• Strong C++ experience
• Industry experience designing, implementing and extending algorithms
• MS/PhD degree in Computer Science, Robotics, or related technical field
• Nice to have experience includes:
• Experience with machine learning techniques applied to behavior prediction, perception or motion planning
• Experience developing robotic system evaluation
• Prior experience in the self-driving vehicle space
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.
Compensation
The location-specific base salary range for this position is listed below. Compensation in other geographies may vary.
Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.
DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.
In addition to base salary, the compensation package for this role also includes opportunities for equity grants.
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on August 21, 2023.
Please see the independent bias audit report covering our use of Covey here Show more details...
DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you...
About the Role
We’re hiring a behavior prediction engineer in our autonomy software team. In this role, you’ll work with multiple stakeholders including Product, Engineering (hardware and software), and Operations to develop our behavior prediction system. You’ll be researching, designing and implementing enhancements as a core member of the team.
You’re excited about this opportunity because you will…
• Play an integral role on a small and focused team
• Research, develop and implement algorithms for behavior prediction for an autonomous vehicle
• Improve robot’s capabilities by improving its understanding of agents around it
• Leverage simulation to test and improve your algorithms
• Contribute to the architecture of a safe and redundant system
We’re excited about you because…
• Experience in at least one of the following: graph algorithms, optimization, probabilistic robotics (POMDP), computational geometry
• Experience in at least one of the following: computer vision, lidar data processing
• In-depth knowledge of data structures and advanced algorithms.
• Strong C++ experience
• Industry experience designing, implementing and extending algorithms
• MS/PhD degree in Computer Science, Robotics, or related technical field
• Nice to have experience includes:
• Experience with machine learning techniques applied to behavior prediction, perception or motion planning
• Experience developing robotic system evaluation
• Prior experience in the self-driving vehicle space
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.
Compensation
The location-specific base salary range for this position is listed below. Compensation in other geographies may vary.
Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.
DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.
In addition to base salary, the compensation package for this role also includes opportunities for equity grants.
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on August 21, 2023.
Please see the independent bias audit report covering our use of Covey here Show more details...
via Geebo
posted_at: 3 days agoschedule_type: Full-timesalary: 20–28 an hour
Who we are:
Argo AI is a global self-driving products and services company on a mission to make the world's streets and roadways safe, accessible, and useful for all. Our technology is built to enable commercial services for autonomous delivery and ridesharing in cities. With experienced leaders in the field and collaborative partnerships with some of the world's top consumer brands, we're... working block by block, city by city to empower people
Who we are:
Argo AI is a global self-driving products and services company on a mission to make the world's streets and roadways safe, accessible, and useful for all. Our technology is built to enable commercial services for autonomous delivery and ridesharing in cities. With experienced leaders in the field and collaborative partnerships with some of the world's top consumer brands, we're... working block by block, city by city to empower people and businesses to be more successful. We're individuals driven by strong values to solve complex problems together. Come join us to reimagine the human journey. Meet the team:
The Argo AI Prediction team is responsible for designing and building systems that allow an autonomous vehicle to understand the current scene around it and to predict how it will evolve in the future. The Prediction team analyzes the output generated by the perception teams and anticipates the likely intents and future trajectories of nearby objects so our vehicle can make safe and comfortable driving decisions. In the Prediction Data and Infrastructure team, you'll use your creativity and initiative to come up with better ways to quantify vehicle and prediction performance, visualize data, and exploit the massive amount of data generated by our systems to help our team continually improve. The Prediction team is distributed across Munich, Pittsburgh, and Palo Alto, and all groups work very closely with each other. We are open to remote work in some circumstances and have a number of team members who currently work remotely. What you'll do:
Collaborate with stakeholders to define data requirements Design metrics, reports, and data visualizations Apply statistical methods to support high-quality and meaningful data analyses Work with modern cloud, big data, and analytics technologies Engineer robust and extensible data pipelines Recommend improvements for data quality and process efficiency Own initiatives from inception to implementation What you'll need to succeed:
Degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field Significant data analysis experience High proficiency with SQL and Python is an advantage Strong team player that can collaborate effectively with customers and other teams Experience working with Data Warehouses like Redshift, BigQuery, or Snowflake Experience working with Business Intelligence tools like Streamlit, Qlik, or Looker Strong presentation and communication skills What we offer you:
High-quality individual and family medical, dental, and vision insurance Competitive compensation packages Employer-matched 401(k) retirement plan with immediate vesting Employer-paid group term life insurance and the option to elect voluntary life insurance Paid parental leave Adoption & Surrogacy Assistance Program Paid medical leave 30 day paid sabbatical upon 5 years of employment Unlimited vacation Complimentary daily lunches, beverages, and snacks Pre-tax commuter benefits Monthly wellness stipend Professional development reimbursement Employee assistance program Discounted programs that include legal services, identity theft protection, pet insurance, and more Company and team bonding outlets:
employee resource groups, quarterly team activity stipend, and wellness initiative Our Background:
Argo AI was founded in 2016 by industry experts with extensive experience building robotic systems for commercial applications. Our once-small team has since grown into an over 1,700-person strong company with strategic partnerships with some of the world's leading consumer brands. With global headquarters in Pittsburgh, we operate in eight cities across the U.S. and Germany in areas where self-driving technology can have the biggest impact on improving safety, traffic, and transportation equity. At Argo AI, we believe that embracing differences delivers superior results. We are an equal opportunity employer that is committed to an inclusive environment for all employees.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Business Intelligence & AnalyticsEstimated Salary: $20 to $28 per hour based on qualifications Show more details...
Argo AI is a global self-driving products and services company on a mission to make the world's streets and roadways safe, accessible, and useful for all. Our technology is built to enable commercial services for autonomous delivery and ridesharing in cities. With experienced leaders in the field and collaborative partnerships with some of the world's top consumer brands, we're... working block by block, city by city to empower people and businesses to be more successful. We're individuals driven by strong values to solve complex problems together. Come join us to reimagine the human journey. Meet the team:
The Argo AI Prediction team is responsible for designing and building systems that allow an autonomous vehicle to understand the current scene around it and to predict how it will evolve in the future. The Prediction team analyzes the output generated by the perception teams and anticipates the likely intents and future trajectories of nearby objects so our vehicle can make safe and comfortable driving decisions. In the Prediction Data and Infrastructure team, you'll use your creativity and initiative to come up with better ways to quantify vehicle and prediction performance, visualize data, and exploit the massive amount of data generated by our systems to help our team continually improve. The Prediction team is distributed across Munich, Pittsburgh, and Palo Alto, and all groups work very closely with each other. We are open to remote work in some circumstances and have a number of team members who currently work remotely. What you'll do:
Collaborate with stakeholders to define data requirements Design metrics, reports, and data visualizations Apply statistical methods to support high-quality and meaningful data analyses Work with modern cloud, big data, and analytics technologies Engineer robust and extensible data pipelines Recommend improvements for data quality and process efficiency Own initiatives from inception to implementation What you'll need to succeed:
Degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field Significant data analysis experience High proficiency with SQL and Python is an advantage Strong team player that can collaborate effectively with customers and other teams Experience working with Data Warehouses like Redshift, BigQuery, or Snowflake Experience working with Business Intelligence tools like Streamlit, Qlik, or Looker Strong presentation and communication skills What we offer you:
High-quality individual and family medical, dental, and vision insurance Competitive compensation packages Employer-matched 401(k) retirement plan with immediate vesting Employer-paid group term life insurance and the option to elect voluntary life insurance Paid parental leave Adoption & Surrogacy Assistance Program Paid medical leave 30 day paid sabbatical upon 5 years of employment Unlimited vacation Complimentary daily lunches, beverages, and snacks Pre-tax commuter benefits Monthly wellness stipend Professional development reimbursement Employee assistance program Discounted programs that include legal services, identity theft protection, pet insurance, and more Company and team bonding outlets:
employee resource groups, quarterly team activity stipend, and wellness initiative Our Background:
Argo AI was founded in 2016 by industry experts with extensive experience building robotic systems for commercial applications. Our once-small team has since grown into an over 1,700-person strong company with strategic partnerships with some of the world's leading consumer brands. With global headquarters in Pittsburgh, we operate in eight cities across the U.S. and Germany in areas where self-driving technology can have the biggest impact on improving safety, traffic, and transportation equity. At Argo AI, we believe that embracing differences delivers superior results. We are an equal opportunity employer that is committed to an inclusive environment for all employees.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Business Intelligence & AnalyticsEstimated Salary: $20 to $28 per hour based on qualifications Show more details...
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