Requirements:
Bachelor’s degree or equivalent practical experience.
2 years of software development experience using Python or C++.
Experience with deep learning frameworks (e.g., JAX or PyTorch).
Experience with analysis and scientific computing libraries (e.g., NumPy, Pandas, and Matplotlib).
Nice to haves:
PhD with a research focus on Machine Learning, Reinforcement Learning, or Multi-Agent Systems.
Experience training models on accelerators (TPUs, GPUs) in a distributed environment.
Expertise building and optimizing complex systems in JAX.
What you'll be doing:
Build infrastructure for video data pipelines and annotation.
Optimize inference and distillation for real-time generation.
Conduct research for video pretraining.
Develop next generation forms of interactivity.
Develop methods for long-term memory in world models.
Perks and benefits:
Global learning opportunities and varied career pathways.
US base salary range $147,000-$211,000 + bonus + equity + benefits.
Public benefit-focused AI lab with interdisciplinary teams.
Commitment to safety and ethics in AI development.
$147,000 - $211,000
year
mid
4/9/2026
You will be redirected to Google's application portal.