About the Role
The Applied team at DeepMind works closely with various Google/Alphabet teams, utilizing DeepMind's expertise to deploy advanced machine learning algorithms to enhance Alphabet products and services. This team is driven, collaborative, and diverse, with members based in London and Mountain View. Current and past collaborations include teams in Cloud, Android, Assistant, Youtube, and Maps. The team also collaborates closely with DeepMind's and Google's Research teams on several projects. Each project typically involves a team of engineers working with product partners, researchers, product managers, and program managers.
Key Responsibilities
- Apply the most promising models and research to high-impact real-world problems.
- Rapid-prototype initial concepts.
- Design and run experiments to evaluate opportunities.
- Gain an understanding of the path from research to production while working on real-world problems.
- Work as part of a small project team led by Research Engineers, with potential for partnership with research scientists.
Current projects, such as MuZero for Video Compression, focus on areas including Natural Language Generation/Understanding, Multimodal Understanding, Reinforcement Learning, Causal/Counterfactual modelling, Time Series Forecasting, Meta Learning, and Multitask Learning. Experience in any of these areas is highly beneficial.
Requirements
We look for individuals who thrive in ambiguity and are willing to contribute to moving prototypes forward. The role often requires inventing novel solutions and adapting course, so flexibility and adaptability are essential.
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++.
- 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, on projects from proof-of-concept through to implementation highly beneficial.
- A passion for AI.
- Great communication skills and proven interpersonal skills.
Additional Advantages:
- Experience in applying experimental ideas to applied problems.
- Cross-functional collaboration experience.
- Prior experience collaborating with researchers.
- Prior experience working with product teams.