Onric
Robotics ML Research Engineer
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Application / Senior / Research
Robotics ML Research Engineer
You will explore how robotics foundation models can understand generated parts, assembly intent, and real manipulation constraints. The goal is not just demos, but measurable progress from CAD-grounded tasks to robot execution.
What you will do
- Evaluate, adapt, and fine-tune robotics foundation models for Onric tasks.
- Benchmark VLA, diffusion, flow-matching, and imitation-learning policies.
- Design experiments for CAD-grounded assembly tasks.
- Connect policy learning to simulation, correction data, and real robot outcomes.
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Expected outcomes
- Benchmark OpenVLA / SmolVLA / RDT-style policies for assembly, design imitation learning and sim-to-real experiments.
- Build evaluation protocols for model transfer across arms.
- Produce clear research evidence for what models Onric should adopt or fine-tune.
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Skills Required
- PyTorch and/or JAX.
- Imitation learning, diffusion policies, and VLA models.
- Vision-language models and robot datasets.
- Experiment design, benchmarking, and evaluation metrics.
- Simulation-to-real transfer and policy fine-tuning.
- Experiment tracking, data pipelines, and research documentation.
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