Google DeepMind · Bangalore
Research Scientist, Machine Learning Optimization
28.10.2025
Description
- Design, implement and evaluate models, agents and software prototypes of large foundational models.
- Deep dive into fundamentals of both the ML aspects of foundational models (like architectures, loss functions, data, evals) as well as their implementation on neural accelerators (efficiency during training, serving).
- Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
- Suggest and engage in team collaborations to meet ambitious research goals.
- Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.
- Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.
Qualifications
- PhD in a technical field or equivalent practical experience.
- PhD in Machine Learning, Computer Vision, Natural Language Processing or related areas
- A proven track record of publications and relevant experience in one or more areas such as large foundational models, ML+Systems, optimization, learning theory, computer vision, NLP etc.
- Proven experience with ML frameworks (e.g. JAX) and proven experience with training large models
- Proven experience working in industry, working on projects from proof-of-concept through to implementation, applying experimental ideas to applied problems
- A real passion for AI, Optimization, and Efficiency!