Scientist Policy Learning Jobs in San Francisco, CA

What you'll do Train manipulation policies (imitation learning, VLAs, RL) using our multimodal human data Deploy and

Learn more about our work at harvey.ai/research.

You’ll collaborate closely with research scientists, ML engineers and system teams to translate robotic policy and its stack into production-ready systems.

As a Machine Learning Scientist at Sesame, you are a research-oriented person with experience in NLP, Speech, and/or Computer Vision with a focus on deep learning

Guidance on Candidates' AI Usage: Learn about our policy

…a deep understanding of machine learning and machine learning applications.

Guidance on Candidates' AI Usage: Learn about our policy

Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.

…directly influence how frontier models learn.

Develop privacy-preserving cross-organizational learning using federated learning and differential privacy techniques.

…models through pretraining or reinforcement learning (RL) / post-training

We’re hiring research scientists across post-training, reinforcement learning, continual learning, multimodal models, evaluation, and interpretability.

…on developing agents that can learn

Reinforcement Learning infrastructure, specifically for on-policy learning or alignment with human preferences A consistent history of original contributions