Research Engineer, AI for Code
Mountain View, California, US
DeepMind
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.At Google 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
The AI for Code team collaborates closely with a wide variety of teams across Google/Alphabet, leveraging Google DeepMind expertise to deploy advanced machine learning algorithms with the goal of improving Alphabet products and services. The AI for Code group specializes in improving Software Engineer productivity by building AI into the software development lifecycle as well as creating never-before-seen coding experiences.
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 Google DeepMind Foundational Researchers and Gemini 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
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
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 leadership.
Some of our current projects are focusing on the areas below so experience in any of these is highly beneficial:
- Natural Language and Code Generation/Understanding
- Multimodal Understanding
- Reinforcement Learning
- 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 an AI for Code Research Engineer at Google 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
- Proven knowledge and experience of Python or C++
Experience in AI for Code, such as publications or prior work creating AI-based software engineering tools
- Knowledge of machine learning and statistics
- Knowledge of algorithm design
- Proven experience of Tensorflow or similar ML frameworks (e.g. JAX) is highly desirable
- Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models
- Experience fine-tuning large models (e.g. supervised, RLHF)
- Experience applying and productionizing state-of-the-art large visual, language and multimodal research
- 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 Artificial Intelligence
- Great communication skills and proven 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 Google 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 Mountain View and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).
The US base salary range for this full-time position is between $133,000 - $240,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Tags: Computer Science Engineering Gemini JAX Machine Learning Mathematics PhD Prototyping Python Reinforcement Learning Research RLHF Statistics TensorFlow
Perks/benefits: Career development Equity Fitness / gym Flex hours Health care Insurance Medical leave Parental leave Salary bonus
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