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Most recent job postings at DeepMind
via Simplify
posted_at: 3 days agoschedule_type: Full-time
At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or... related condition (including breastfeeding) or any other
At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or... related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Snapshot
We’ve built a unique culture and work environment where long-term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming year.
About us
We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit.
We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.
We constantly iterate on our workplace experience with the goal of ensuring it encourages a balanced life. From excellent office facilities through to extensive manager support, we strive to support our people and their needs as effectively as possible.
Our list of benefits is extensive, and we’re happy to discuss this further throughout the interview process.
The role
The mission of the Applied team is to ’Demonstrate the benefits and potential of DeepMind’s AI to the world’. We achieve this by closely collaborating with teams across Google & Alphabet, leveraging DeepMind Research to improve Alphabet’s products and services.
In this role, you will manage a team working on solving core product problems using large language models and other cutting-edge ML technologies. The project consists of a multi-functional team of engineers, product managers and program managers from both within our research team and from product partners at Alphabet. You would also work closely with DeepMind Research and Google AI teams on these projects.
Key responsibilities:
• Lead a team of research engineers that will partner with DeepMind Research to bring our innovative machine learning to the world through Google / Alphabet products.
• Support and mentor individual contributors to build their careers, and strengthen team members in technical and non-technical areas.
• Support and enable the team to identify the most promising research advances and the products that will benefit from them.
• Deliver organisational projects that accelerate progress toward our mission.
• Build and maintain relationships with DeepMind Research and Google / Alphabet partner teams; understanding their objectives, collaborators, products, constraints, and systems.
About you
In order to set you up for success as a Research Engineering Lead at DeepMind, we look for the following skills and experience:
• BSc in Computer Science, Mathematics, Applied Statistics or Machine Learning or equivalent experience
• 2+ years of experience managing research-based engineering teams
• Experience working on NLP/NLU problems in an industry setting
• Knowledge of Python/C++, and modern ML libraries e.g. TensorFlow or JAX
• Experience working on projects from proof-of-concept through to implementation
In addition, the following would be an advantage:
• MSc/PhD degree in computer science, mathematics, applied stats, machine learning or similar
• Management or individual contributor experience working on large-scale ML projects
• Experience working on state-of-the-art large language models
• Experience in applying experimental ideas to applied problems
• Cross functional collaboration experience
• Prior experience collaborating with researchers and working with product teams
• Entrepreneurial experience is desirable
What we offer
At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
The US base salary range for this full-time position is between $185,000 - $293,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process Show more details...
Snapshot
We’ve built a unique culture and work environment where long-term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming year.
About us
We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit.
We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.
We constantly iterate on our workplace experience with the goal of ensuring it encourages a balanced life. From excellent office facilities through to extensive manager support, we strive to support our people and their needs as effectively as possible.
Our list of benefits is extensive, and we’re happy to discuss this further throughout the interview process.
The role
The mission of the Applied team is to ’Demonstrate the benefits and potential of DeepMind’s AI to the world’. We achieve this by closely collaborating with teams across Google & Alphabet, leveraging DeepMind Research to improve Alphabet’s products and services.
In this role, you will manage a team working on solving core product problems using large language models and other cutting-edge ML technologies. The project consists of a multi-functional team of engineers, product managers and program managers from both within our research team and from product partners at Alphabet. You would also work closely with DeepMind Research and Google AI teams on these projects.
Key responsibilities:
• Lead a team of research engineers that will partner with DeepMind Research to bring our innovative machine learning to the world through Google / Alphabet products.
• Support and mentor individual contributors to build their careers, and strengthen team members in technical and non-technical areas.
• Support and enable the team to identify the most promising research advances and the products that will benefit from them.
• Deliver organisational projects that accelerate progress toward our mission.
• Build and maintain relationships with DeepMind Research and Google / Alphabet partner teams; understanding their objectives, collaborators, products, constraints, and systems.
About you
In order to set you up for success as a Research Engineering Lead at DeepMind, we look for the following skills and experience:
• BSc in Computer Science, Mathematics, Applied Statistics or Machine Learning or equivalent experience
• 2+ years of experience managing research-based engineering teams
• Experience working on NLP/NLU problems in an industry setting
• Knowledge of Python/C++, and modern ML libraries e.g. TensorFlow or JAX
• Experience working on projects from proof-of-concept through to implementation
In addition, the following would be an advantage:
• MSc/PhD degree in computer science, mathematics, applied stats, machine learning or similar
• Management or individual contributor experience working on large-scale ML projects
• Experience working on state-of-the-art large language models
• Experience in applying experimental ideas to applied problems
• Cross functional collaboration experience
• Prior experience collaborating with researchers and working with product teams
• Entrepreneurial experience is desirable
What we offer
At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
The US base salary range for this full-time position is between $185,000 - $293,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process Show more details...
via Karkidi
schedule_type: Full-timesalary: 120K–190K a year
The Applied team collaborates closely with a wide variety of teams across Google/Alphabet, leveraging DeepMind expertise to deploy advanced machine learning algorithms with the goal of improving Alphabet products and services. We are a driven, collaborative, diverse team based in London and Mountain View. Our current and past engagements include teams in Cloud, Android, Assistant, Youtube and... Maps. We collaborate closely with DeepMind's and Google's
The Applied team collaborates closely with a wide variety of teams across Google/Alphabet, leveraging DeepMind expertise to deploy advanced machine learning algorithms with the goal of improving Alphabet products and services. We are a driven, collaborative, diverse team based in London and Mountain View. Our current and past engagements include teams in Cloud, Android, Assistant, Youtube and... Maps. We collaborate closely with DeepMind's and Google's Research teams on several projects. Each project typically consists of a team of engineers working closely with our product partners and with our researchers, product managers and program managers.
About us
We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit. We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.
We constantly iterate on our workplace experience with the goal of ensuring it encourages a balanced life. From excellent office facilities through to extensive manager support, we strive to support our people and their needs as effectively as possible. Our list of benefits is extensive, and we’re happy to discuss this further throughout the interview process.
The role
Key Responsibilities:
You’ll be applying the most promising models and research to high-impact real world problems, by rapid-prototyping initial concepts, and designing and running experiments to evaluate the opportunity. You will gain an understanding of the path from research to production whilst working on real world problems, with the chance to see your work make a difference. You’ll be part of a small project team led by Research Engineers, with the potential for partnership with research scientists and significant impact in the short term, and close mentorship from Applied leadership.
Some of our current projects e.g. MuZero for Video Compression are focusing on the areas below so experience in any of these is highly beneficial:
• Natural Language Generation/Understanding
• Multimodal Understanding
• Reinforcement Learning
• Causal/Counterfactual modelling
• Time Series Forecasting
• Meta Learning
• Multitask Learning
About you
We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems, and often change course if our ideas don’t work out, so flexibility and adaptability to work on any project is a must.
In order to set you up for success as a Research Engineer at DeepMind, we look for the following skills and experience:
• BSc, MSc or PhD/DPhil degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry
• Strong knowledge and experience of Python or C++.
• Knowledge of machine learning and statistics.
• Knowledge of algorithm design.
• Proven experience of Tensorflow or similar ML frameworks (e.g. JAX) is highly desirable.
• Software Engineering experience and experience working on large-scale ML projects highly desirable.
• Proven experience working in industry, working on projects from proof-of-concept through to implementation highly beneficial.
• A passion for AI.
• Great communication skills and strong interpersonal skills.
In addition, the following would be an advantage:
• Experience in applying experimental ideas to applied problems.
• Cross functional collaboration experience.
• Prior experience collaborating with researchers.
• Prior experience working with product teams.
What we offer
At DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.
We are also open to relocating candidates to London and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).
Competitive salary applies Show more details...
About us
We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit. We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.
We constantly iterate on our workplace experience with the goal of ensuring it encourages a balanced life. From excellent office facilities through to extensive manager support, we strive to support our people and their needs as effectively as possible. Our list of benefits is extensive, and we’re happy to discuss this further throughout the interview process.
The role
Key Responsibilities:
You’ll be applying the most promising models and research to high-impact real world problems, by rapid-prototyping initial concepts, and designing and running experiments to evaluate the opportunity. You will gain an understanding of the path from research to production whilst working on real world problems, with the chance to see your work make a difference. You’ll be part of a small project team led by Research Engineers, with the potential for partnership with research scientists and significant impact in the short term, and close mentorship from Applied leadership.
Some of our current projects e.g. MuZero for Video Compression are focusing on the areas below so experience in any of these is highly beneficial:
• Natural Language Generation/Understanding
• Multimodal Understanding
• Reinforcement Learning
• Causal/Counterfactual modelling
• Time Series Forecasting
• Meta Learning
• Multitask Learning
About you
We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems, and often change course if our ideas don’t work out, so flexibility and adaptability to work on any project is a must.
In order to set you up for success as a Research Engineer at DeepMind, we look for the following skills and experience:
• BSc, MSc or PhD/DPhil degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry
• Strong knowledge and experience of Python or C++.
• Knowledge of machine learning and statistics.
• Knowledge of algorithm design.
• Proven experience of Tensorflow or similar ML frameworks (e.g. JAX) is highly desirable.
• Software Engineering experience and experience working on large-scale ML projects highly desirable.
• Proven experience working in industry, working on projects from proof-of-concept through to implementation highly beneficial.
• A passion for AI.
• Great communication skills and strong interpersonal skills.
In addition, the following would be an advantage:
• Experience in applying experimental ideas to applied problems.
• Cross functional collaboration experience.
• Prior experience collaborating with researchers.
• Prior experience working with product teams.
What we offer
At DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.
We are also open to relocating candidates to London and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).
Competitive salary applies Show more details...
via Karkidi
schedule_type: Full-timesalary: 88,930–121,930 a year
At DeepMind we've built a unique culture and work environment where long-term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high profile breakthroughs towards building artificial general intelligence... and we have all the ingredients in place to make further
At DeepMind we've built a unique culture and work environment where long-term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high profile breakthroughs towards building artificial general intelligence... and we have all the ingredients in place to make further significant progress over the coming years.
Snapshot
DeepMind is active within the wider research community through publications and partners with many of the world’s top academics and academic institutions. We have built a hardworking and engaging culture, combining the best of academia with product led environments, providing an ambitious balance of structure and flexibility.
Our approach encourages collaboration across all groups within the Research team, leading to ambitious creativity and the scope for creative breakthroughs at the forefront of research.
The role
As an intern at DeepMind you’d be working closely with our renowned team of scientists, embedded within one of our teams which focus on aspects within Machine Learning, Artificial Intelligence and Neuroscience with the overall goal of building powerful general-purpose learning algorithms.
Interns work with our Research Scientists to:
• Design, implement and evaluate models, agents and software prototypes of perceptual processing
• Report and present research findings and developments including status and results clearly, verbally and in writing
• Suggest and engage in team collaborations to meet research goal
About you
In order to apply, you should be:
• Enrolled in a PhD programme where your core focus is on machine learning, artificial intelligence or computational theory or a related field
• Have proven research capability in a DeepMind relevant field of research (eg. Computer Science, Computational Neuroscience, Machine Learning etc Show more details...
Snapshot
DeepMind is active within the wider research community through publications and partners with many of the world’s top academics and academic institutions. We have built a hardworking and engaging culture, combining the best of academia with product led environments, providing an ambitious balance of structure and flexibility.
Our approach encourages collaboration across all groups within the Research team, leading to ambitious creativity and the scope for creative breakthroughs at the forefront of research.
The role
As an intern at DeepMind you’d be working closely with our renowned team of scientists, embedded within one of our teams which focus on aspects within Machine Learning, Artificial Intelligence and Neuroscience with the overall goal of building powerful general-purpose learning algorithms.
Interns work with our Research Scientists to:
• Design, implement and evaluate models, agents and software prototypes of perceptual processing
• Report and present research findings and developments including status and results clearly, verbally and in writing
• Suggest and engage in team collaborations to meet research goal
About you
In order to apply, you should be:
• Enrolled in a PhD programme where your core focus is on machine learning, artificial intelligence or computational theory or a related field
• Have proven research capability in a DeepMind relevant field of research (eg. Computer Science, Computational Neuroscience, Machine Learning etc Show more details...
via Karkidi
schedule_type: Full-timesalary: 88,830–121,830 a year
At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or... related condition (including breastfeeding) or any other
At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or... related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
About us
The Applied Research team are currently recruiting Research Scientist Interns to join our interdisciplinary team and contribute to our ground-breaking research in solving intelligence. As an Applied Research Scientist intern at DeepMind you’d be working collaboratively with our renowned team of scientists, who focus on topics within Machine Learning and Artificial Intelligence with the overall goal of building powerful general-purpose learning algorithms and applying them to real world problems with high impact.
Snapshot
DeepMind is active within the wider research community through publications and partners with many of the world’s top academics and academic institutions. We have built a hardworking and engaging culture, combining the best of academia with product led environments, providing an ambitious balance of structure and flexibility. Our approach encourages collaboration across all groups within the Research team, leading to ambitious creativity and the scope for creative breakthroughs at the forefront of research and application.
The role
Interns work with our Research Scientists to:
• Design, implement and evaluate models, agents and software prototypes to demonstrate capabilities of AI
• Report and present research findings and developments including status and results clearly, verbally and in writing
• Suggest and engage in team collaborations to meet research goals
• Bridge the gap between the research and products by integrating new fundamental research into applied projects and identifying interesting real world problems to research.
About you
In order to apply, you should be:
• Studying towards a PhD in a technical field
• Available for 16-20 weeks within 2023 (please note: there is no fixed start month Show more details...
About us
The Applied Research team are currently recruiting Research Scientist Interns to join our interdisciplinary team and contribute to our ground-breaking research in solving intelligence. As an Applied Research Scientist intern at DeepMind you’d be working collaboratively with our renowned team of scientists, who focus on topics within Machine Learning and Artificial Intelligence with the overall goal of building powerful general-purpose learning algorithms and applying them to real world problems with high impact.
Snapshot
DeepMind is active within the wider research community through publications and partners with many of the world’s top academics and academic institutions. We have built a hardworking and engaging culture, combining the best of academia with product led environments, providing an ambitious balance of structure and flexibility. Our approach encourages collaboration across all groups within the Research team, leading to ambitious creativity and the scope for creative breakthroughs at the forefront of research and application.
The role
Interns work with our Research Scientists to:
• Design, implement and evaluate models, agents and software prototypes to demonstrate capabilities of AI
• Report and present research findings and developments including status and results clearly, verbally and in writing
• Suggest and engage in team collaborations to meet research goals
• Bridge the gap between the research and products by integrating new fundamental research into applied projects and identifying interesting real world problems to research.
About you
In order to apply, you should be:
• Studying towards a PhD in a technical field
• Available for 16-20 weeks within 2023 (please note: there is no fixed start month Show more details...
via Karkidi
schedule_type: Full-timesalary: 88,730–121,730 a year
At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or... related condition (including breastfeeding) or any other
At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or... related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Snapshot
Our 2023 internship programme offers students from a variety of academic backgrounds to gain experience in the field of Engineering & AI. This is a fantastic opportunity to lay the groundwork for a successful career by working in any one of our specialist teams.
About us
At DeepMind, we've built an outstanding culture and work environment where long-term ambitious research can thrive. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming years.
About you
We welcome applications from current students at any level (Bachelors, Masters, Doctorate) who have completed at least two years by the time the internship starts of university-level study in a technical subject (computer science, engineering, maths, physics, etc.)
You need to have full fluency and be comfortable to complete a project in Python. You should have an interest in AI or machine learning, but experience or formal study is not a requirement. We are strongly interested in profiles eligible for full-time opportunities after the internship if the conditions are met.
The role
As a Research Engineering intern at DeepMind, you will utilise software engineering and a research mindset to advance our groundbreaking AI research programme in collaboration with other members of the team.
Our interns work on a project together with the support and mentorship of a host Research Engineer. Whatever project you work on, you will be part of a diverse, interdisciplinary, collaborative team of highly talented people.
Our interns work on a diverse and stimulating range of projects including: developing new learning algorithms and prototype applications, creating analysis and visualisation tools to analyse the behaviour of our agents, and prototyping DeepMind Research to solve impactful real world problems in partnership with Google.
Machine learning experience is not required for this internship position!
We are hiring Research Engineering Interns across four teams. Please indicate your team preferences when applying for this role.
Core Research Engineering
The Core Research Engineering team at DeepMind focusses on pushing the boundaries of Machine Learning and Artificial Intelligence theory & practice, working in collaboration with others to enable DeepMind to succeed on its mission: solve intelligence to advance science and benefit humanity. This fundamental research includes but is not limited to deep neural network models, reinforcement learning algorithms and biologically-inspired models with the overall goal of building powerful general-purpose learning algorithms. We work alongside scientists and engineers from other parts of the organisation.
Robotics
The Robotics lab is a group of multidisciplinary research scientists, research engineers, and software engineers who pioneer new approaches in robotics. Robotics is a critical part of developing general-purpose learning algorithms because systems must learn to deal with the incredible complexity and ever- changing conditions of the real world. We collaborate with multiple teams across DeepMind to endow our systems with the ability to learn, allowing them to respond and adapt to a variety of variable environments. In particular, we focus on learning complex manipulation and navigation tasks and understanding how systems respond to the physical world.
Science
Science is at the heart of everything we do at DeepMind. From the very beginning, we took inspiration from science to build better algorithms. Now, we want to use our toolkit to accelerate scientific discovery. This multidisciplinary team of researchers and engineers work on innovative projects where AI can impact our fundamental understanding of the physical world. Projects within the Science group explore the potential for AI to enable breakthroughs in biology, quantum chemistry, energy, mathematics and material design; all critical to solving many of the world’s most intractable problems.
Applied
The Applied team applies DeepMind’s cutting-edge research to Google products and infrastructure used by millions of People. Our core teams are based in London and Mountain View, California, and work on a variety of applications for machine learning. Our collaborative efforts have reduced the electricity needed for cooling Google’s data centres by up to 30%, used WaveNet to create more natural voices for the Google Assistant, and created on-device learning systems to optimise Android battery performance. Partnering with Google provides us with a unique set of opportunities and capabilities, allowing us to translate our research breakthroughs into real-world products and solutions. In this way, we can demonstrate the benefits of our work and build towards a positive, inclusive and responsible AI future Show more details...
Snapshot
Our 2023 internship programme offers students from a variety of academic backgrounds to gain experience in the field of Engineering & AI. This is a fantastic opportunity to lay the groundwork for a successful career by working in any one of our specialist teams.
About us
At DeepMind, we've built an outstanding culture and work environment where long-term ambitious research can thrive. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming years.
About you
We welcome applications from current students at any level (Bachelors, Masters, Doctorate) who have completed at least two years by the time the internship starts of university-level study in a technical subject (computer science, engineering, maths, physics, etc.)
You need to have full fluency and be comfortable to complete a project in Python. You should have an interest in AI or machine learning, but experience or formal study is not a requirement. We are strongly interested in profiles eligible for full-time opportunities after the internship if the conditions are met.
The role
As a Research Engineering intern at DeepMind, you will utilise software engineering and a research mindset to advance our groundbreaking AI research programme in collaboration with other members of the team.
Our interns work on a project together with the support and mentorship of a host Research Engineer. Whatever project you work on, you will be part of a diverse, interdisciplinary, collaborative team of highly talented people.
Our interns work on a diverse and stimulating range of projects including: developing new learning algorithms and prototype applications, creating analysis and visualisation tools to analyse the behaviour of our agents, and prototyping DeepMind Research to solve impactful real world problems in partnership with Google.
Machine learning experience is not required for this internship position!
We are hiring Research Engineering Interns across four teams. Please indicate your team preferences when applying for this role.
Core Research Engineering
The Core Research Engineering team at DeepMind focusses on pushing the boundaries of Machine Learning and Artificial Intelligence theory & practice, working in collaboration with others to enable DeepMind to succeed on its mission: solve intelligence to advance science and benefit humanity. This fundamental research includes but is not limited to deep neural network models, reinforcement learning algorithms and biologically-inspired models with the overall goal of building powerful general-purpose learning algorithms. We work alongside scientists and engineers from other parts of the organisation.
Robotics
The Robotics lab is a group of multidisciplinary research scientists, research engineers, and software engineers who pioneer new approaches in robotics. Robotics is a critical part of developing general-purpose learning algorithms because systems must learn to deal with the incredible complexity and ever- changing conditions of the real world. We collaborate with multiple teams across DeepMind to endow our systems with the ability to learn, allowing them to respond and adapt to a variety of variable environments. In particular, we focus on learning complex manipulation and navigation tasks and understanding how systems respond to the physical world.
Science
Science is at the heart of everything we do at DeepMind. From the very beginning, we took inspiration from science to build better algorithms. Now, we want to use our toolkit to accelerate scientific discovery. This multidisciplinary team of researchers and engineers work on innovative projects where AI can impact our fundamental understanding of the physical world. Projects within the Science group explore the potential for AI to enable breakthroughs in biology, quantum chemistry, energy, mathematics and material design; all critical to solving many of the world’s most intractable problems.
Applied
The Applied team applies DeepMind’s cutting-edge research to Google products and infrastructure used by millions of People. Our core teams are based in London and Mountain View, California, and work on a variety of applications for machine learning. Our collaborative efforts have reduced the electricity needed for cooling Google’s data centres by up to 30%, used WaveNet to create more natural voices for the Google Assistant, and created on-device learning systems to optimise Android battery performance. Partnering with Google provides us with a unique set of opportunities and capabilities, allowing us to translate our research breakthroughs into real-world products and solutions. In this way, we can demonstrate the benefits of our work and build towards a positive, inclusive and responsible AI future Show more details...
via Karkidi
schedule_type: Full-timesalary: 89,030–122,030 a year
At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or... related condition (including breastfeeding) or any other
At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or... related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Snapshot
Our 2023 internship programme offers students from a variety of academic backgrounds to gain experience in the field of Engineering & AI. This is a fantastic opportunity to lay the groundwork for a successful career by working in any one of our specialist teams.
About us
At DeepMind, we've built an outstanding culture and work environment where long-term ambitious research can thrive. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming years.
About you
We welcome applications from current students at any level (Bachelors, Masters, Doctorate) who have completed at least two years by the time the internship starts of university-level study in a technical subject (computer science, engineering, maths, physics, etc.)
You need to have full fluency and be comfortable to complete a project in Python. You should have an interest in AI or machine learning, but experience or formal study is not a requirement.
The role
As a Research Engineering intern at DeepMind, you will utilise software engineering and a research mindset to advance our groundbreaking AI research programme in collaboration with other members of the team.
Our interns work on a project together with the support and mentorship of a host Research Engineer. Whatever project you work on, you will be part of a diverse, interdisciplinary, collaborative team of highly talented people.
Our interns work on a diverse and stimulating range of projects including: developing new learning algorithms and prototype applications, creating analysis and visualization tools to analyze the behaviour of our agents, and prototyping DeepMind Research to solve impactful real world problems in partnership with Google.
Machine learning experience is not required for this internship position!
Opening date: 16th September 2022
Closing date: 30th September 2022 at midnight UK time (GMT Show more details...
Snapshot
Our 2023 internship programme offers students from a variety of academic backgrounds to gain experience in the field of Engineering & AI. This is a fantastic opportunity to lay the groundwork for a successful career by working in any one of our specialist teams.
About us
At DeepMind, we've built an outstanding culture and work environment where long-term ambitious research can thrive. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming years.
About you
We welcome applications from current students at any level (Bachelors, Masters, Doctorate) who have completed at least two years by the time the internship starts of university-level study in a technical subject (computer science, engineering, maths, physics, etc.)
You need to have full fluency and be comfortable to complete a project in Python. You should have an interest in AI or machine learning, but experience or formal study is not a requirement.
The role
As a Research Engineering intern at DeepMind, you will utilise software engineering and a research mindset to advance our groundbreaking AI research programme in collaboration with other members of the team.
Our interns work on a project together with the support and mentorship of a host Research Engineer. Whatever project you work on, you will be part of a diverse, interdisciplinary, collaborative team of highly talented people.
Our interns work on a diverse and stimulating range of projects including: developing new learning algorithms and prototype applications, creating analysis and visualization tools to analyze the behaviour of our agents, and prototyping DeepMind Research to solve impactful real world problems in partnership with Google.
Machine learning experience is not required for this internship position!
Opening date: 16th September 2022
Closing date: 30th September 2022 at midnight UK time (GMT Show more details...
via LinkedIn
posted_at: 4 days agoschedule_type: Full-time
About The Program
The OpenAI Residency provides a pathway for engineers and researchers to transition into the field of artificial intelligence. Residents build on their existing experience while learning and working on practical problems with our teams. As a Research Resident, you’ll be embedded within our Research or Applied teams working on real, cutting-edge AI problems. Residents will be... compensated as fully salaried employees for the duration
About The Program
The OpenAI Residency provides a pathway for engineers and researchers to transition into the field of artificial intelligence. Residents build on their existing experience while learning and working on practical problems with our teams. As a Research Resident, you’ll be embedded within our Research or Applied teams working on real, cutting-edge AI problems. Residents will be... compensated as fully salaried employees for the duration of the program.
Excellent work and experience can come from both inside and outside of traditional education and work settings. OpenAI has long been home to many self-taught researchers and engineers. If you have an unconventional educational background, we encourage you to apply. It is important that this program is inclusive of the diverse set of skills and backgrounds that reflect the human experience so our work can do the same. We will provide immigration and relocation support to talent globally.
About The Role
The OpenAI Research Residency is ideal for researchers with expertise in a scientific field outside of deep learning who would like to transition into a Research Scientist or Research Engineer position in the field of AI. We seek a record of achievement in a field such as mathematics, physics, or neuroscience. As a Resident on the Research track, you will work closely with a team of machine learning researchers to build AI systems that can perform previously impossible tasks and achieve unprecedented levels of performance to advance the research agenda of your team.
Preferred Qualifications
• Published research in a STEM field or equivalent practical research experience
• Have proficiency in programming languages
• Have a strong math background and understanding of linear algebra, calculus, and statistics
• Have achievements in another field, such as creating a large software system, awards in math/science/programming contests, or authoring highly cited publications
• Be available and interested in joining OpenAI full-time after completing the Residency
• Have taken the initiative to jump right in and begin self-study of the fundamentals of ML
• Motivated to discover AI breakthroughs and their potential benefits to humanity
Application and Program Timeline
• Application review and interviews will take place on a rolling basis.
• We will offer quarterly start dates in 2023.
• We are now accepting applications for the April 2023 class.
Location
This program is based in our San Francisco HQ, and we offer a flexible work environment, encouraging Residents to come in the office at least 3 days a week. We will also provide relocation assistance as needed.
Work Authorization / Sponsorship
OpenAI will provide immigration and sponsorship support to Residents based on their unique circumstances.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation, Benefits And Perks
The monthly salary for this role is $17,500. Total compensation also includes benefits.
• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI US Applicant Privacy Policy Show more details...
The OpenAI Residency provides a pathway for engineers and researchers to transition into the field of artificial intelligence. Residents build on their existing experience while learning and working on practical problems with our teams. As a Research Resident, you’ll be embedded within our Research or Applied teams working on real, cutting-edge AI problems. Residents will be... compensated as fully salaried employees for the duration of the program.
Excellent work and experience can come from both inside and outside of traditional education and work settings. OpenAI has long been home to many self-taught researchers and engineers. If you have an unconventional educational background, we encourage you to apply. It is important that this program is inclusive of the diverse set of skills and backgrounds that reflect the human experience so our work can do the same. We will provide immigration and relocation support to talent globally.
About The Role
The OpenAI Research Residency is ideal for researchers with expertise in a scientific field outside of deep learning who would like to transition into a Research Scientist or Research Engineer position in the field of AI. We seek a record of achievement in a field such as mathematics, physics, or neuroscience. As a Resident on the Research track, you will work closely with a team of machine learning researchers to build AI systems that can perform previously impossible tasks and achieve unprecedented levels of performance to advance the research agenda of your team.
Preferred Qualifications
• Published research in a STEM field or equivalent practical research experience
• Have proficiency in programming languages
• Have a strong math background and understanding of linear algebra, calculus, and statistics
• Have achievements in another field, such as creating a large software system, awards in math/science/programming contests, or authoring highly cited publications
• Be available and interested in joining OpenAI full-time after completing the Residency
• Have taken the initiative to jump right in and begin self-study of the fundamentals of ML
• Motivated to discover AI breakthroughs and their potential benefits to humanity
Application and Program Timeline
• Application review and interviews will take place on a rolling basis.
• We will offer quarterly start dates in 2023.
• We are now accepting applications for the April 2023 class.
Location
This program is based in our San Francisco HQ, and we offer a flexible work environment, encouraging Residents to come in the office at least 3 days a week. We will also provide relocation assistance as needed.
Work Authorization / Sponsorship
OpenAI will provide immigration and sponsorship support to Residents based on their unique circumstances.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation, Benefits And Perks
The monthly salary for this role is $17,500. Total compensation also includes benefits.
• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI US Applicant Privacy Policy Show more details...
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