Staff Data Scientist – Simulation Motion AI
San Francisco, CA, United States
USD 170K-240K (estimate) Senior-level Full Time
Tasks
- Architect simulation-data pipelines
- Build simulation environments for task data generation
- Define data-generation curricula for robotic tasks
- Design procedural scene domain randomization strategies
- Establish dataset provenance metadata versioning reproducibility standards
- Generate synthetic robotic interaction data
- Generate targeted recovery data for rare conditions
- Relabel and extend real-world robot trajectories
- Replay and perturb robot trajectories in simulation
Perks/Benefits
- N/A
Skills/Tech-stack
Calibration | Closed Loop | Closed loop control | Computer Vision | Coordinate frames | Data provenance | Dataset versioning | Diffusion | Distributed Training | Docker | Domain Randomization | Experiment tracking | GPU Optimization | Kubernetes | Loop Control | Machine Learning | Metadata Versioning | Procedural scene generation | PyTorch | Python | Ray | Reproducibility | Robot Kinematics | Robot dynamics | Robotics | Scene Generation | Simulation | Slurm | Trajectory Representation | Transformer
Education
Roles
Regions
Countries
States
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