Research Engineering Manager
Location
Mountain View, CA
Level
Senior
Department
Engineering
Type
Full - Time
Salary
Job Description
Posted on:
April 5, 2023
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.
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.
Job Requirements
- 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
