Research Engineer, Polaris
Google DeepMind · Mountain View, CA, USA
CHECKED 23H AGO
Frontier labonsite$147k–$210k
At a glance
Highlights
- Design in-depth tasks that test Gemini on complex software engineering work.
- Build realistic week-long evals with prompts, graders and rubrics for Gemini.
- Launch new DeepMind projects to improve training data and evaluations.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
A software engineer who loves using AI coding agents and thrives on complex problem-solving, with a competitive programming or research mindset and passion for advancing Gemini through realistic evaluations.
Requirements
- Experience in software development or programming.
- Experience using AI-assisted coding tools, developer agents, or LLM-based workflows for software development.
- Experience using coding agents for performing work.
- Experience participating in competitive programming, mathematics competitions (e.g., IMO, USAMO, Putnam, or IOI), or hackathons.
- Experience designing rubrics, evaluation frameworks, or benchmark datasets for machine learning models.
- Demonstrated ability to quickly adapt to and learn new programming paradigms, tools, and technical stacks.
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)