AI Robotics Research Scientist — Generalist Robotic AI

Nimble; San Francisco (CA); Hybrid; USD 150.000 - 300.000; Vollzeit

Benefits dieser Stelle

Unlimited Flexible Time Off

Health Insurance

401k

Equity

Referral Bonus

Parking spots

Zusammenfassung

Nimble is hiring a Member of Technical Staff to advance our robotics moonshot by designing, training, and implementing robotic foundation models, Vision-Language-Action Models, general-purpose robotic AI models, and reinforcement learning algorithms controlling multi-agent robot fleets.

You will collaborate with cross-functional teams to deliver models with immediate applications in the world’s biggest robotics opportunity.

Qualifikationen

• PhD in Robotics or Computer Science required.
• Experience training deep learning models for robotic manipulation or mobility.
• Experience working with real robotic hardware.
• Experience training models in simulation and developing simulation environments.
• Experience collecting custom datasets.
• Experience training on open-source datasets.
• Strong track record of publishing papers and/or deploying real-world applications.
• Experience with system architecture, design and development.

Aufgaben

• Develop and train VLAs and generalist visuomotor policies to automate thousands of tasks across the supply chain.
• Develop data collection pipelines.
• Design data annotation and labeling.
• Support implementation of models into production systems.

Kenntnisse

Robotics ML training

Robotic hardware experience

Simulation environments

Data collection & labeling

Open-source datasets

Publications / deployments

Systems architecture

Ausbildung

PhD in Robotics or Computer Science

Jobbeschreibung

Nimble is hiring a Member of Technical Staff to advance our robotics moonshot by designing, training, and implementing robotic foundation models, Vision-Language-Action Models, general-purpose robotic AI models, and reinforcement learning algorithms controlling multi-agent robot fleets.

You will collaborate with cross-functional teams to deliver models with immediate applications in the world’s biggest robotics opportunity.