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#481,796
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19 yrs
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Newest job postings for macresearch
via GovernmentJobs.com
schedule_type: Full-timesalary: 5,684 a month
Under direction, is responsible for research activities, including data collection, data reporting, evaluation, statistical analysis, projections, and data visualization. This position uses data to monitor compliance, prepare and submit reports, assess impact of our department, and fulfill other research needs. This work involves advanced data analysis and data research.
• Learn Bexar County MAC... data and reporting requirements
• Prepare quarterly
Under direction, is responsible for research activities, including data collection, data reporting, evaluation, statistical analysis, projections, and data visualization. This position uses data to monitor compliance, prepare and submit reports, assess impact of our department, and fulfill other research needs. This work involves advanced data analysis and data research.
• Learn Bexar County MAC... data and reporting requirements
• Prepare quarterly reporting metrics to the MAC Oversight Board and TIDC
• Prepare and distribute an annual survey of judges to address overall impressions of quality of indigent defense services and attorney performance
• Prepare and distribute an annual survey of users to gauge overall satisfaction with representation through the MAC
• Manage current MAC datasets regarding indigent defense programs and services
• Provide data and analysis in support of the MAC’s strategic and operational needs
• Identify research needs and prepare research agenda
• Coordination with third-party evaluator per TIDC grant requirements
• Recommend data-informed policies or initiatives that could substantively improve the Bexar County criminal justice system
• Create and manage a performance measurement, evaluation, and reporting system for the department.
• Respond to data inquiries from internal and external stakeholders
• Design and conduct program evaluations
• Contribute to team efforts within the department
• Coordinate and collaborate with other researchers across County criminal justice system
• In coordination with the MAC Program Manager and Law and Technology Resource Attorney, facilitates the development, implementation, integration and/or modification of the Department’s case assignment and case management systems
• Perform other work as assigned
• Bachelor’s degree in social science, public administration, public affairs, political science, economics, criminology, or related field and five (5) years’ experience in policy analysis, related government analysis, involving quantitative analysis and research techniques in criminal justice, health/human services, or other social science field
• Advanced education or experience may be substituted on a year for year basis
• Proficient in quantitative and qualitative research methods
• Demonstrated ability to work with large data sets
• Skills in problem-solving and policy analysis; skilled at using statistical software such as R, Python, Stata, Tableau, or Power Bi; skills in working collaboratively as an effective team member
• Demonstrated advanced computer skills in MS Office products including Excel to develop and maintain spreadsheets, charts, tables, graphs; MS Word; MS PowerPoint
• Skillful writing and oral communication skills
• Ability to work independently and to manage multiple competing demands
• Strong desire to improve the Bexar County Indigent Defense System
• Applicants selected for interview will be required to submit a writing sample and an example of data work performed
• Must secure and maintain a favorable background investigation and clearance
• Must clear a pre-employment physical
• May be required to work more than 40 hours during the workweek
Preferred Qualifications:
• Post-Graduate degree in public administration, social science, political science, economics, criminology, or related field
• Experience researching public defense or criminal justice
• Experience with surveys, focus groups, or randomized controlled trials
• Experience with data visualization
Working Environment and Physical Demands:
• Working conditions are in an office environment
• Occasionally moves items weighing up to 10 pounds
• Occasionally move about the office
• Frequently communicates with others; must be able to exchange accurate information
• Constantly operates a computer and other office productivity machinery
• Positions self to perform essential functions
• Must be able to remain in a stationary position
Workstations with internet access are available, if needed, to view job postings and apply online at 211 S Flores, San Antonio, TX 78204, 8am – 5pm, Monday through Friday. Phone: 210-335-2545.
EQUAL OPPORTUNITY EMPLOYER
Bexar County is an Equal Opportunity Employer and committed to Workplace Diversity.
We are committed to providing equal opportunity for protected veterans and individuals with disabilities.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Show more details...
• Learn Bexar County MAC... data and reporting requirements
• Prepare quarterly reporting metrics to the MAC Oversight Board and TIDC
• Prepare and distribute an annual survey of judges to address overall impressions of quality of indigent defense services and attorney performance
• Prepare and distribute an annual survey of users to gauge overall satisfaction with representation through the MAC
• Manage current MAC datasets regarding indigent defense programs and services
• Provide data and analysis in support of the MAC’s strategic and operational needs
• Identify research needs and prepare research agenda
• Coordination with third-party evaluator per TIDC grant requirements
• Recommend data-informed policies or initiatives that could substantively improve the Bexar County criminal justice system
• Create and manage a performance measurement, evaluation, and reporting system for the department.
• Respond to data inquiries from internal and external stakeholders
• Design and conduct program evaluations
• Contribute to team efforts within the department
• Coordinate and collaborate with other researchers across County criminal justice system
• In coordination with the MAC Program Manager and Law and Technology Resource Attorney, facilitates the development, implementation, integration and/or modification of the Department’s case assignment and case management systems
• Perform other work as assigned
• Bachelor’s degree in social science, public administration, public affairs, political science, economics, criminology, or related field and five (5) years’ experience in policy analysis, related government analysis, involving quantitative analysis and research techniques in criminal justice, health/human services, or other social science field
• Advanced education or experience may be substituted on a year for year basis
• Proficient in quantitative and qualitative research methods
• Demonstrated ability to work with large data sets
• Skills in problem-solving and policy analysis; skilled at using statistical software such as R, Python, Stata, Tableau, or Power Bi; skills in working collaboratively as an effective team member
• Demonstrated advanced computer skills in MS Office products including Excel to develop and maintain spreadsheets, charts, tables, graphs; MS Word; MS PowerPoint
• Skillful writing and oral communication skills
• Ability to work independently and to manage multiple competing demands
• Strong desire to improve the Bexar County Indigent Defense System
• Applicants selected for interview will be required to submit a writing sample and an example of data work performed
• Must secure and maintain a favorable background investigation and clearance
• Must clear a pre-employment physical
• May be required to work more than 40 hours during the workweek
Preferred Qualifications:
• Post-Graduate degree in public administration, social science, political science, economics, criminology, or related field
• Experience researching public defense or criminal justice
• Experience with surveys, focus groups, or randomized controlled trials
• Experience with data visualization
Working Environment and Physical Demands:
• Working conditions are in an office environment
• Occasionally moves items weighing up to 10 pounds
• Occasionally move about the office
• Frequently communicates with others; must be able to exchange accurate information
• Constantly operates a computer and other office productivity machinery
• Positions self to perform essential functions
• Must be able to remain in a stationary position
Workstations with internet access are available, if needed, to view job postings and apply online at 211 S Flores, San Antonio, TX 78204, 8am – 5pm, Monday through Friday. Phone: 210-335-2545.
EQUAL OPPORTUNITY EMPLOYER
Bexar County is an Equal Opportunity Employer and committed to Workplace Diversity.
We are committed to providing equal opportunity for protected veterans and individuals with disabilities.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Show more details...
via Careers At Apple
posted_at: 28 days agoschedule_type: Full-time
Summary
Posted: Aug 10, 2023
Weekly Hours: 40...
Role Number:200489593
Are you excited about Generative AI and Large Language Models? Are you interested in working on cutting edge generative modeling technologies to enrich billions of people!? We are looking for senior research engineers experienced in training, adapting and deploying large scale ML models with a focus on natural language and multimodal understanding and generation. You will be inventing
Summary
Posted: Aug 10, 2023
Weekly Hours: 40...
Role Number:200489593
Are you excited about Generative AI and Large Language Models? Are you interested in working on cutting edge generative modeling technologies to enrich billions of people!? We are looking for senior research engineers experienced in training, adapting and deploying large scale ML models with a focus on natural language and multimodal understanding and generation. You will be inventing and shipping the next generation of core technologies to enable system wide experience! The mission of Robustness & Safety AI team is to develop core technologies to ensure safety on Apple’s devices and services. This includes technologies to ensure communication safety for our users as well as to ensure ML models and features built on top of generative AI are robust and safe.
The team comprises of domain experts in NLP, Computer Vision, and ML Fairness who contribute to significant system wide safety experience. Our team provides an opportunity to be part of an incredible research and engineering organization focusing on System Intelligent Machine Learning (SIML) within Apple. An ideal candidate will have solid ML fundamentals and ability to turn research contributions into products. Proven experience in Conversation Understanding and Synthesis, Reinforcement and Human Preference Learning, and Large Language Model Training are essential for this role.
SELECTED REFERENCES TO OUR TEAM’S WORK:
Communication Safety & Sensitive Content Warning
https://www.apple.com/newsroom/2023/06/apple-announces-powerful-new-privacy-and-security-features/
Key Qualifications
Key Qualifications
• Strong ML and NLP fundamentals
• Hands on experience training LLMs
• Experience adapting pre-trained LLMs for downstream tasks & human alignment
• Familiarity with distributed training
• Proficiency in using ML toolkits, e.g., PyTorch
• Strong programming skills in Python, C and C++
• You're aware of the challenges associated to the transition of a prototype into a final product
Description
Description
We are seeking a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale language and multimodal models on distributed backends, deployment of compact neural architectures such as transformers efficiently on device, and learning policies that can be personalized to the user in a privacy preserving manner. Ensuring quality with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. Your primary responsibilities will center on enriching conversation understanding capabilities through LLM and multimodal models. The user experience initiative would focus on enriching system safety experience.
Education & Experience
Education & Experience
M.S. or PhD in Electrical Engineering, Computer Science or a related field ie, mathematics, physics or computer engineering with a focus on computer vision and/or machine learning or comparable professional experience.
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $170,700 and $256,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
Posted: Aug 10, 2023
Weekly Hours: 40...
Role Number:200489593
Are you excited about Generative AI and Large Language Models? Are you interested in working on cutting edge generative modeling technologies to enrich billions of people!? We are looking for senior research engineers experienced in training, adapting and deploying large scale ML models with a focus on natural language and multimodal understanding and generation. You will be inventing and shipping the next generation of core technologies to enable system wide experience! The mission of Robustness & Safety AI team is to develop core technologies to ensure safety on Apple’s devices and services. This includes technologies to ensure communication safety for our users as well as to ensure ML models and features built on top of generative AI are robust and safe.
The team comprises of domain experts in NLP, Computer Vision, and ML Fairness who contribute to significant system wide safety experience. Our team provides an opportunity to be part of an incredible research and engineering organization focusing on System Intelligent Machine Learning (SIML) within Apple. An ideal candidate will have solid ML fundamentals and ability to turn research contributions into products. Proven experience in Conversation Understanding and Synthesis, Reinforcement and Human Preference Learning, and Large Language Model Training are essential for this role.
SELECTED REFERENCES TO OUR TEAM’S WORK:
Communication Safety & Sensitive Content Warning
https://www.apple.com/newsroom/2023/06/apple-announces-powerful-new-privacy-and-security-features/
Key Qualifications
Key Qualifications
• Strong ML and NLP fundamentals
• Hands on experience training LLMs
• Experience adapting pre-trained LLMs for downstream tasks & human alignment
• Familiarity with distributed training
• Proficiency in using ML toolkits, e.g., PyTorch
• Strong programming skills in Python, C and C++
• You're aware of the challenges associated to the transition of a prototype into a final product
Description
Description
We are seeking a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale language and multimodal models on distributed backends, deployment of compact neural architectures such as transformers efficiently on device, and learning policies that can be personalized to the user in a privacy preserving manner. Ensuring quality with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. Your primary responsibilities will center on enriching conversation understanding capabilities through LLM and multimodal models. The user experience initiative would focus on enriching system safety experience.
Education & Experience
Education & Experience
M.S. or PhD in Electrical Engineering, Computer Science or a related field ie, mathematics, physics or computer engineering with a focus on computer vision and/or machine learning or comparable professional experience.
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $170,700 and $256,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
via Careers At Apple
schedule_type: Full-time
Summary
Posted: May 15, 2023
Weekly Hours: 40...
Role Number:200477238
Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate?
We truly believe it can! We are looking for senior technical leaders experienced in architecting and deploying production scale multimodal ML. An ideal candidate has the ability to
Summary
Posted: May 15, 2023
Weekly Hours: 40...
Role Number:200477238
Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate?
We truly believe it can! We are looking for senior technical leaders experienced in architecting and deploying production scale multimodal ML. An ideal candidate has the ability to lead diverse cross functional efforts ranging from ML modeling, prototyping, validation and private learning. Solid ML fundamentals and an ability to place research contributions with respect to state of the art would be an essential part of the role. Experience with training and adapting large language models would be an important need.
We are the Intelligence System Experience (ISE) team within Apple’s software organization. The team works at the intersection between multimodal machine learning and system experiences. System Experience (Springboard, Settings), Keyboards, Pencil & Paper, Shortcuts are some of the experiences that the team oversees. These experiences that our users enjoy are backed by production scale ML workflows. Visual Understanding of People, Text, Handwriting & Scenes, multilingual NLP for writing workflows & knowledge extraction, behavioral modeling for proactive suggestions, and privacy preserving learning are areas our multi disciplinary ML teams focus on.
SELECTED REFERENCES TO OUR TEAM’S WORK:
- https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon (https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon)
- https://machinelearning.apple.com/research/on-device-scene-analysis (https://machinelearning.apple.com/research/on-device-scene-analysis)
- https://machinelearning.apple.com/research/panoptic-segmentation (https://machinelearning.apple.com/research/panoptic-segmentation)
Key Qualifications
Key Qualifications
• Hands on experience training LLMs
• Experience adapting pre-trained LLMs for downstream tasks & human alignment
• Modeling experience at the intersection of NLP and vision
• Familiarity with distributed training
• Proficiency in ML toolkit of choice, e.g., PyTorch
• Strong programming skills in Python, C and C++
Description
Description
We are looking for a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale multimodal (2D/3D vision-language) models on distributed backends, deployment of compact neural architectures efficiently on device, and learning policies that can be personalized to the user in a privacy preserving manner. Ensuring quality in the wild, with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. The primary responsibilities of the role would center on enriching multimodal capabilities of large language models. The user experience initiative would focus on aligning image/video content to the space of LMs for visual actions & multi-turn interactions.
Education & Experience
Education & Experience
M.S. or PhD in Computer Science, or a related fields such as Electrical Engineering, Robotics, Statistics, Applied Mathematics or equivalent experience.
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $199,800 and $300,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
Posted: May 15, 2023
Weekly Hours: 40...
Role Number:200477238
Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate?
We truly believe it can! We are looking for senior technical leaders experienced in architecting and deploying production scale multimodal ML. An ideal candidate has the ability to lead diverse cross functional efforts ranging from ML modeling, prototyping, validation and private learning. Solid ML fundamentals and an ability to place research contributions with respect to state of the art would be an essential part of the role. Experience with training and adapting large language models would be an important need.
We are the Intelligence System Experience (ISE) team within Apple’s software organization. The team works at the intersection between multimodal machine learning and system experiences. System Experience (Springboard, Settings), Keyboards, Pencil & Paper, Shortcuts are some of the experiences that the team oversees. These experiences that our users enjoy are backed by production scale ML workflows. Visual Understanding of People, Text, Handwriting & Scenes, multilingual NLP for writing workflows & knowledge extraction, behavioral modeling for proactive suggestions, and privacy preserving learning are areas our multi disciplinary ML teams focus on.
SELECTED REFERENCES TO OUR TEAM’S WORK:
- https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon (https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon)
- https://machinelearning.apple.com/research/on-device-scene-analysis (https://machinelearning.apple.com/research/on-device-scene-analysis)
- https://machinelearning.apple.com/research/panoptic-segmentation (https://machinelearning.apple.com/research/panoptic-segmentation)
Key Qualifications
Key Qualifications
• Hands on experience training LLMs
• Experience adapting pre-trained LLMs for downstream tasks & human alignment
• Modeling experience at the intersection of NLP and vision
• Familiarity with distributed training
• Proficiency in ML toolkit of choice, e.g., PyTorch
• Strong programming skills in Python, C and C++
Description
Description
We are looking for a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale multimodal (2D/3D vision-language) models on distributed backends, deployment of compact neural architectures efficiently on device, and learning policies that can be personalized to the user in a privacy preserving manner. Ensuring quality in the wild, with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. The primary responsibilities of the role would center on enriching multimodal capabilities of large language models. The user experience initiative would focus on aligning image/video content to the space of LMs for visual actions & multi-turn interactions.
Education & Experience
Education & Experience
M.S. or PhD in Computer Science, or a related fields such as Electrical Engineering, Robotics, Statistics, Applied Mathematics or equivalent experience.
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $199,800 and $300,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
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