Robot Learning Engineer — Planning & Manipulation

Anyware Robotics builds general-purpose mobile manipulator robots for industrial applications. Our robots are trusted by customers across logistics, retail, and manufacturing, supporting applications such as truck unloading, mobile palletizing, and machine tending.

What You'll Do

• Improve learned policies for robot manipulation that augment and extend our production system's performance envelope
• Contribute to our manipulation capabilities: data collection from deployed robots, physics simulation environments, policy training, and deployment validation
• Use production multimodal data — rich sensor streams from real industrial operations across logistics and manufacturing
• Collaborate with perception and controls engineers to close the loop between scene understanding, navigation, and other capabilities inside AnywareOS
• Ship models to production — your work will run on robots at customer sites across multiple industries, not just on a sim bench

Required Skills

• MS/PhD in ML, robotics, or related field (or equivalent industry experience shipping learned robotic behaviors)
• Strong applied ML fundamentals: policy learning (imitation learning, RL, or diffusion policies), neural network architecture design, training infrastructure
• Experience with robot learning for manipulation or motion: grasp synthesis, motion generation, trajectory optimization with learned components, or sim-to-real transfer
• Proficiency in Python and ML frameworks; comfortable with C++ for deployment-critical paths
• Understanding of classical planning (rule-based or optimization-based planning, task-space control)
• Demonstrated ability to go from research idea → working system

Nice to Have

• Prior work on force/compliance control or contact-rich manipulation
• Familiarity with ROS2 and real robot deployment pipelines
• Experience with sim-to-real transfer at scale (domain randomization, system identification)
• Background in warehouse/logistics robotics or unstructured environment manipulation
• Publications at RSS, CoRL, ICRA, or NeurIPS robotics workshops

Why Anyware

• An A+ Team: Anyware is built by top talents. Collectively, our team has won six times of Best Paper Awards and Finalists, including the ICRA 2025 Best Paper Award and ICRA 2024 Best Paper Award.
• An A+ Robot: Our robot, Pixmo, won the Best Innovation Award (top-1) at both ProMat 2025 and MODEX 2026 — the two largest logistics automation exhibitions in the world. This is the first time in history that a robotics company has won this prestigious award back-to-back. Pixmo also won the RBR50 Robotics Innovation Award, recognizing it as one of the top 50 most innovative robotics solutions globally.
• Real Impact: You will contribute directly to the core manipulation intelligence that powers every Pixmo deployment. Your work does not stop at a demo. It ships into real customer sites and solves real problems at scale.
• Fast Growth: You will sharpen your skills with strong ownership and real responsibility. The team size is doubling every year, creating plenty of room for talents to step up and shine.
• Generous Equity: We offer generous equity. Salary makes a living, while equity makes a millionaire.

Benefits & Perks

• Comprehensive health insurance for you and your family
• Paid Time Off (PTO)
• Paid sick leave
• 401(k) plan support
• Daily meal credit