Biomechanics Research Engineer: Human Movement & Robotics

Relari; California (MO); On-site; USD 120,000 - 180,000; Full time

Job summary

Relari is a small research and engineering startup in San Francisco seeking a researcher/engineer to bring biomechanics and robot-learning together. You will design experiments and computational representations spanning muscle activity, force, tactile contact, motion, and touch feedback, turning ideas into code, datasets, and robot experiments.

This on-site role emphasizes cross-disciplinary collaboration with robot-learning researchers to improve policy behavior and cross-embodiment transfer,

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, such as EMG, force, pressure, tactile sensing, motion capture, or wearable-sensor data.
• Strong quantitative skills in signal processing, statistics, time-series modeling, sensor fusion, or machine learning.
• Fluency in Python and the ability to build reliable modeling pipelines around imperfect, synchronized sensor data.
• Interest in connecting human physical interaction with learned robot behavior; a PhD is welcome but not required when equivalent depth is demonstrated through other work.

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 data analysis

Signal processing

Sensor fusion

Machine learning

Python programming

Education

PhD in Biomechanics / Biomedical Engineering / Neuroscience

Tools

Python

Job description

Relari is a small research and engineering startup in San Francisco seeking a researcher/engineer to bring biomechanics and robot-learning together. You will design experiments and computational representations spanning muscle activity, force, tactile contact, motion, and touch feedback, turning ideas into code, datasets, and robot experiments.

This on-site role emphasizes cross-disciplinary collaboration with robot-learning researchers to improve policy behavior and cross-embodiment transfer,