Founding Robot Learning Engineer

Haptica Robotics builds tactile sensing wearables for robots and people. The Founding Robot Learning Engineer will own the company’s in-house robot-learning function, building data collection and training pipelines, evaluating how tactile data affects policies, and helping customers integrate Haptica data into their systems.

Responsibilities:

• Build our data collection, training and inference pipeline on off-the-shelf hardware integrated with Haptica
• Train imitation learning policies (ACT, diffusion policy) with and without our tactile data on tasks where touch matters most: shear, occluded grasps, delicate objects
• Define how we evaluate. Benchmark tasks that reuse publicly researched setups, metrics, and tooling to quantify the impact of our data and the variance of the impact across tasks
• Extend data collection from teleop to egocentric glove data. Integrate hand tracking, test retargeting from a human hand to grippers and multi fingered hands, and run experiments that decide how many fingers we track
• Influence hardware decisions based on what our sensing needs to deliver for learning. You'll have opinions on sampling rate, resolution, synchronization, drift, and calibration
• Stay on the bleeding edge of how the world's best companies are running robot learning, and help us integrate Haptica into customers' data collection and teleoperation setup
• Share your findings with the world through demo videos, writeups, and papers with our academic collaborators at Stanford, MIT, and more