Role overview
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
What you'll work on
- 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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
What we're looking for
- 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.