Human Biomechanics Research Engineer for Robot Learning

Relari, inc.; San Francisco (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Relari, inc. in San Francisco is seeking an engineer-scientist to advance human-robot interaction by designing experiments and multimodal representations that link neuromuscular activity to forces and touch feedback.

You will develop methods for EMG, force, tactile sensing, and motion data, calibrate models across sessions and tasks, and collaborate with robot-learning researchers to test cross-embodiment transfer on real robots.

Qualifications

• Research or engineering depth in biomechanics, neuroengineering, biomedical engineering, motor control, computational neuroscience, haptics, kinesiology, or a related field.
• Hands-on experience collecting and analyzing biomechanical or physiological data (e.g., EMG, force, pressure, tactile sensing, motion capture, wearable sensors).
• Strong quantitative skills in signal processing, statistics, time-series modeling, sensor fusion, or machine learning.

Responsibilities

• Develop signal-processing and learning methods for synchronized EMG, force, tactile, pressure, motion, and visual data.
• Design experiments and sensor configurations that capture how humans regulate contact, stability, coordination, and effort during manipulation.
• Build multimodal representations that connect neuromuscular activity with external forces and touch feedback.
• Develop calibration and domain-adaptation methods that remain reliable across people, sessions, tasks, and sensor configurations.
• Create data-collection protocols grounded in biomechanics and downstream robot-learning needs.
• Work with robot-learning researchers to test whether physical-interaction representations improve policy behavior and cross-embodiment transfer.
• Influence wearable sensing, force and tactile hardware, validation procedures, and future measurement systems.

Skills

Biomechanics

Neuroengineering

Biomedical engineering

Motor control

Computational neuroscience

Haptics

Kinesiology

Python

Education

PhD welcomed but not required

Tools

Python

Job description

Relari, inc. in San Francisco is seeking an engineer-scientist to advance human-robot interaction by designing experiments and multimodal representations that link neuromuscular activity to forces and touch feedback.

You will develop methods for EMG, force, tactile sensing, and motion data, calibrate models across sessions and tasks, and collaborate with robot-learning researchers to test cross-embodiment transfer on real robots.