Abaka AI
Machine Learning Engineer, Robotics
$100K–$200K
Mountain View HQ · Hybrid · Full-time · Posted Sep 9, 2026
- Experience
- 1–3 years of hands-on real robot hardware experience through research, an internship, or a project.
- Education
- MS or PhD in Robotics, Computer Science, Machine Learning, or a related field.
About the job
Build and evaluate robot-learning policies on simulated and real robots, and develop scalable pipelines that turn raw sensor data into high-quality training datasets.
What you'll do
- Create pipelines to validate, curate, and label raw sensor and robot data with minimal human intervention.
- Train and evaluate robot policies in simulation and on real hardware, using results to assess data quality.
- Study which data improves policy performance and contribute findings to publishable research.
What they ask for
- MS or PhD in Robotics, Computer Science, Machine Learning, or a related field.
- 1–3 years of hands-on experience with real robot hardware through research, an internship, or a project.
- Strong machine learning fundamentals, including optimization, generalization, evaluation methodology, and end-to-end model training.
- Strong robotics and 3D vision fundamentals, including coordinate frames, kinematics, basic control, camera models, multi-view geometry, and point clouds.
Nice to have
- Publications or workshop papers at leading robotics, vision, or ML venues; or a widely used open-source repository or adopted dataset.
- Experience with robot-learning codebases, real-robot policy deployment, 3D reconstruction, simulation, RL, teleoperation, or related areas.
Pay
$100,000 - $200,000 USD annually (base salary); $100K – $200K (base salary)
Tools
LeRobot, ACT, Diffusion Policy, OpenVLA, π0, COLMAP, SLAM, MuJoCo
AI focus
Robot learning research, including training and evaluating imitation-learning, diffusion, VLA, and RL fine-tuned policies; building data pipelines for physical AI.
Model-written summary · the original posting is authoritative