Senior Staff Machine Learning Research Scientist Generative Modeling For Planning Jobs in San Francisco, CA

Extensive experience with machine learning frameworks such as PyTorch or TensorFlow, especially in the context of diffusion models and other generative models

AWS or GCP) and developing machine learning models in a cloud environment.

About the Role As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building,

About the Role As a Staff Machine Learning Research Engineer, you will operate across the full breadth of AIS’s technical needs — wherever the hardest

Ability to drive end-to-end model development, from research and prototyping to deployment and monitoring.

AI Researcher (World Models & VLA) What you’ll do A visionary Machine Learning Engineer to join our

We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their

We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch.

build the production systems that train, deploy, monitor, retrain, and serve machine learning models across the company.

The Foundation Model Inference team is the backbone of Databricks’ generative AI capabilities.

What you’ll do We are seeking a foundational Staff Machine Learning Infrastructure Engineer to design and build the large-scale

As a Staff Machine Learning Engineer, you will lead the technical strategy and development of Plaid’s foundation models, driving key decisions across

Strong understanding of machine learning fundamentals and modern language models.

The easiest way to understand our research directions is to read our recent research.

Do background research on latest innovations in the Machine Learning space and bring back insights to apply within the team.