Research Engineer, GenAI, Information Tasks
Google DeepMind · Cambridge, MA, USA
CHECKED 42M AGO
Frontier labonsite$174k–$252k
At a glance
Highlights
- Build rigorous evaluations to drive continuous model quality improvements.
- Develop adaptable solutions integrated across multiple Google product areas.
- Advance AI at Google DeepMind to benefit billions of users worldwide.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
A research-minded engineer who loves rigorous evaluation and hillclimbing model quality, and thrives collaborating across research, engineering and product to ship impactful AI at scale.
Requirements
- Bachelor's degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience.
- 3 years of experience with software development in Python or C++.
- Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX), crafting model evaluations and hillclimbing model performance.
- Advanced degree (Master's or PhD) in Machine Learning, Computer Science, or a related technical field.
- 2 years of experience designing benchmark suites and advancing model quality.
- Experience with Large Language Model (LLM) orchestration, routing, or multi-agent workflows.
- Strong cross-functional leadership and communication skills to effectively work across engineering, research, and product teams.
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)