Senior Staff Research Scientist/Engineer, Consumer Agents Post Training
Google DeepMind · Mountain View, CA, USA · Kirkland, WA, USA · San Francisco, CA, USA · New York, NY, USA
CHECKED 23H AGO
Frontier labonsiteSenior Staff$262k–$364k
At a glance
Highlights
- Build autonomous, adaptive consumer agents that retain user context over time.
- Drive large-scale agent post-training from hypothesis to Gemini model recipe.
- Design evaluations for long-horizon reasoning and agent reliability.
What they offer
- 25% bonus target
- equity
- benefits
Ideal candidate
A research-driven technical leader who thrives turning ambitious agent ideas into shipped models. You care about personalization, rigorous experimentation, and collaborating across teams to advance helpful AI.
Requirements
- Bachelor's degree or equivalent practical experience
- 8 years of experience in software development
- 5 years of experience with design and architecture; and testing/launching software products
- Experience with large language model, reinforcement learning, and deep learning
- Master's degree or PhD in Engineering, Computer Science, or a related technical field
- 8 years of experience with data structures and algorithms
- 5 years of experience in a technical leadership role leading project teams and setting technical direction
- 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects
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)