Research Engineering Technical Lead, AlphaEarth
Google DeepMind · New York, NY, USA · London, UK
CHECKED 6M AGO
Frontier labonsitelead$207k–$300k
At a glance
Highlights
- Own technical workstreams end-to-end from proof-of-concept to production.
- Advance AI development to solve complex global challenges for billions.
- Run experiments testing hypotheses across the machine learning lifecycle.
What they offer
- 20% bonus target
- equity
- benefits
Ideal candidate
An experienced engineering leader who thrives in ambiguity and loves turning research prototypes into production systems. You balance technical rigor with execution focus and care about using AI for public benefit.
Requirements
- Bachelor's degree in Computer Science, Mathematics, Applied Stats, Machine Learning, or equivalent practical experience
- 8 years of experience in software development
- Experience in Python or C++, algorithm design, and machine learning
- Experience acting as a Technical Lead, guiding system architecture and milestone delivery
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)