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DeepMind
DeepMind is an artificial intelligence research lab founded in 2010 that aims to build intelligent machines that can help people in multiple fields. The company is focused on developing advanced algorithms and technology that can address complex problems in areas such as healthcare, climate change, finance, and more. The website showcases different initiatives and projects undertaken by DeepMind to further research AI and its benefits to society. The company is also dedicated to fostering collaborations and providing resources for researchers, engineers, and policymakers to advance the development of AI responsibly and transparently.
singularityhub.comOne of DeepMind’s powerful AI algorithms, called AlphaFold, used its deep learning prowess to predict a protein’s three-dimensional (3D) shape, down to the width of an atom.
FAIR’s funding is less clear because Facebook doesn’t break it down.cnbc.comAlphabet gives DeepMind hundreds of millions of dollars a year to carry out its work, while Microsoft invested $1 billion in OpenAI on top of the $1 billion that the founding investors contributed.
Proteins are the building blocks of life and play myraid roles in the body as structural units, transport molecules, as well as functional catalysts of chemical reactions in the body as enzymes.news.yahoo.comDeepMind announced on Thursday that its AlphaFold AI has cracked the structure of over 200 million proteins – the entire “universe of proteins” known to scientists.
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EncryptedSite is Encrypted
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CountryHosted in United States
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Latitude\Longitude34.0544 / -118.244 Google Map
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Traffic rank#10,727 Site Rank
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Site age21 yrs old
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Site Owner informationWhois info
Website is Safe
Site is not blacklisted
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Founded23 September 2010
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FoundersDemis Hassabis,Shane Legg,Mustafa Suleyman
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HeadquartersLondon,,,UK
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Key peopleDemis Hassabis,(,CEO,),Lila Ibrahim,(,COO,)
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Number of employees1,000+ (2022)
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ParentGoogle Inc.,(2014–2015),Alphabet Inc.,(2015–present)
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ProductsAlphaGo,,,AlphaStar,,,AlphaFold,,,AlphaZero
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TypeSubsidiary
Traffic rank
#10,727
#10,727
Site age
21 yrs
21 yrs
Location
United States
United States
Popular Questions for DeepMind
Newest job postings for 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...
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