Machine Learning Research Scientist, Mechanical Intuition in Multimodal Models
Tasks
- Collaborate to connect learning systems with real hardware and manufacturing workflows
- Design and implement end to end learning pipelines for robotic assembly
- Develop evaluation protocols for policy performance and generalization
- Integrate large language models and agentic systems for physical reasoning and task planning
- Run systematic experiments for architectural data and algorithm choices
- Write and publish research results in peer reviewed venues
Perks/Benefits
- 401k
- Annual cash bonus
- Dental insurance
- Medical insurance
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
Agentic AI | CAD/CAM | Computer Vision | Data Curation | Evaluation protocols | Language Models | Large Language Models | Learning algorithms | Machine Learning | Model Training | Motion Planning | Policy learning | Python | Reinforcement Learning | Reinforcement learning algorithms | Robot Learning | Robot Manipulation | Sim-to-Real | Sim-to-Real Transfer | Vision Language Models | Vision-language
Education
Regions
Countries
States
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