Gritt Robotics Inc
Robot Learning Engineer
South San Francisco
Sponsorship not specifiedDetected 296 days ago
PythonMachine LearningData EngineeringComputer VisionRoboticsMechanical DesignElectrical EngineeringSensorsResearchProblem Solving
About the role
- Work with multimodal data (e.g. cameras, LIDAR, tactile).
- Extensive experience in computer vision, machine learning, reinforcement learning or other relevant areas of AI (as evidenced by industry experience or publication record).
- Should be comfortable taking ownership of tasks with light supervision.
Responsibilities
- Gritt https://www.gritt.ai is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward.
- Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning.
- Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar.
- Develop and deploy state-of-the-art physical AI models for challenging manipulation and navigation problems.
- Help drive our technical approach, with particular focus on real-world deployments.
- Build approaches for pre/post training of large robotics models.
- Develop and improve real/sim data pipelines, training and validation infrastructure.
- Collaborate with other teams in the company.
Requirements
- Extensive experience with Python and common frameworks like PyTorch.
- Must have excellent problem-solving skills.
Benefits
- M.S/Ph.D degree in robotics, vision, computer science, mechanical engineering, electrical engineering or other engineering disciplines (or equivalent experience).
- Research and develop techniques around RL, imitation learning, video-action and world models to achieve robust generalization across tasks and environments.
Visa & Work Authorization
- Legally authorized to work in the United States.
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This listing is sourced directly from Gritt Robotics Inc's careers page and normalized into a canonical job model.