Tactile Robotics & Learning Engineer

Haptica Robotics; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Haptica Robotics is seeking a Robot Learning Engineer to own the end-to-end learning function in our San Francisco office. You will build the training pipeline, stress-test sensors, and evaluate policies that leverage tactile data. You’ll collaborate with hardware, data ops, and customers to integrate data into diverse stacks and demonstrate impact through experiments and publications.

The role emphasizes autonomy, strong ML background, and hands-on hardware experience with cameras and sensors.

Qualifications

• MS or PhD in robotics, CS, EE, or related field, or equivalent industry experience.
• Extensive production-level software and ML engineering practice.
• Experience with PyTorch and modern DL frameworks.
• Strong written and verbal communication; ability to simplify complex topics.
• Experience running imitation learning from data collection to training and debugging.
• Comfort with hardware: cameras, IMUs, calibration, and sensor time synchronization.

Responsibilities

• Build data collection, training, and inference pipelines on standard hardware with Haptica.
• Train imitation learning policies (ACT or diffusion-based) using tactile data for key tasks.
• Define evaluation benchmarks and reuse public setups to quantify data impact.
• Extend data collection to egocentric glove data, integrate hand tracking and retargeting.
• Inform hardware decisions on sampling rate, resolution, synchronization, and calibration.
• Share findings via demo videos, writeups, and papers with academic collaborators.

Skills

Robotics

ML engineering

PyTorch

Imitation learning

Hardware familiarity

Communication

Education

MS or PhD in robotics, CS or related field

Tools

PyTorch

Job description

Haptica Robotics is seeking a Robot Learning Engineer to own the end-to-end learning function in our San Francisco office. You will build the training pipeline, stress-test sensors, and evaluate policies that leverage tactile data. You’ll collaborate with hardware, data ops, and customers to integrate data into diverse stacks and demonstrate impact through experiments and publications.

The role emphasizes autonomy, strong ML background, and hands-on hardware experience with cameras and sensors.