Explore 1M+ Live Opportunities.
Direct applications, high-package MNC listings, and exclusive insider referrals updated daily across 50+ niches worldwide.
Live Jobs|Remote & Onsite|Apply in 1 Click
Join Our WhatsApp Job ChannelDirect applications, high-package MNC listings, and exclusive insider referrals updated daily across 50+ niches worldwide.
Edison Smart® · Chicago, Illinois
Senior Robot Learning Engineer (Manipulation)
Chicago, IL| On site | Up to $180k + equity | Visa sponsorship and relocation support
The company
A well funded robotics company building AI powered robots to support the labor workforce.
The role
You’ll own how the robots learn and perform physical skills: the data pipeline that captures how people do the work, the policies that learn from it, and the executor that runs every action on the robot, classical or learned, behind one interface.
What you’ll do
Define how demonstrations are captured: teleop rigs (leader arms, VR) and egocentric capture of people doing the work
Own the robot learning data pipeline: synced observations and actions, labelling, dataset versioning and quality checks
Set the policy architecture: a shared vision and force backbone with task conditioned heads, so a new skill needs a few demos, not a new model
Train with imitation learning, diffusion or transformer policies and VLAs, using RL where the reward is clear
Build the training and evaluation loop in sim and on real robots, with held out evals that gate deployment
Solve manipulation of deformable materials: cable, tape, membrane
Own the actuate executor, with classical control and learned policies behind one contract so the planner can pick either
Build the compliance layer for contact rich work (nailing, pressing, taping, insertion) with force and impedance control
Deploy policies on the robot within real time and safety limits, and build recovery for common failures
Lead and mentor learning and manipulation engineers, while still writing production code and testing on real robots every week
What you’ll bring
5+ years in robotics or ML, including learned manipulation policies deployed on real hardware
Deep experience with imitation learning and RL, and a clear view of when to use each
Force and impedance control for contact rich manipulation
Built a robot learning data pipeline: teleop capture, labelling, versioning, evaluation
PyTorch from dataset to deployed policy
Strong Python and C++, ROS2, Linux, Docker, CI/CD
A record of setting technical direction and mentoring engineers
Nice to have
MS or PhD in Robotics, ML or CS
VLAs or other robot foundation models
Diffusion Policy, ACT or similar visuomotor architectures
Deformable object manipulation (cable, textile, tape)
Bimanual or dexterous manipulation
Sim to real with Isaac Sim or MuJoCo
Teleop systems: leader/follower arms, VR, egocentric capture
Datasets in MCAP or rosbag
Contact rich assembly, finishing or construction work
What’s on offer
Base salary up to $180K
Equity
Visa sponsorship and relocation support
Direct access to robots, sensors and manufacturing environments every week
A rare problem: teaching robots the trades that build homes, on factory and field hardware
Details
| Company | Edison Smart® |
| Location | Chicago, Illinois |
| Type | FULL TIME |
| Niche | Full-time |
| Salary | $1,80,000 – $1,80,000 / yr |