# Biosignal ML Engineer / Data Scientist

**Company:** [Preload](https://zerogtalent.com/robotics-companies/preload)
**Location:** San Francisco, CA
**Work mode:** On-site
**Employment type:** Full Time
**Salary:** USD 150K–225K/yr
**Category:** Engineering
**Department:** Engineering
**Listed:** 2026-11-10

[View and apply on Zero G Talent](https://zerogtalent.com/robotics-jobs/preload/biosignal-ml-engineer-data-scientist-121718)

## What you'll do

- Build feature extraction pipelines for biosignals
- Time-align and fuse multimodal streams
- Develop models of human manipulation and motor intent
- Define data quality metrics
- Work with sensor and robotics teammates

## What you need

- 2+ yrs with time-series or biosignal data
- Strong Python and ML fundamentals (PyTorch)
- Solid signal processing: filtering, artifact removal, synchronization

## Job description

**About Preload**

Preload builds the data layer for physical AI. Robots learn mostly from video, but human interaction is much richer: touch, force, and muscle activity. We build a wearable multimodal stack (egocentric video, tactile gloves, EMG) to capture how people actually interact with the physical world, and turn it into datasets robotics teams can train on. We're a YC (F26) team of PhD founders from Johns Hopkins and Caltech with backgrounds at Neuralink, Paradromics, and other neurotech companies.

**The role**

You'll turn raw, noisy biosignals into features and models that make our data useful for physical AI.

**What you'll do**

-   Build feature extraction pipelines for EMG, tactile, and kinematic signals
-   Time-align and fuse multimodal streams (video, touch, muscle activity)
-   Develop models and representations of human manipulation and motor intent
-   Define data quality metrics and help shape what we collect next
-   Work closely with sensor and robotics teammates to close the loop from hardware to model

**What we're looking for**

-   2+ years working with time-series or biosignal data (EMG, EEG, IMU, neural recordings, or similar)
-   Strong Python and ML fundamentals (PyTorch or similar)
-   Solid signal processing skills: filtering, artifact removal, synchronization
-   Experience with multimodal or self-supervised learning is a plus
-   Background in neuroengineering, BME, robotics, or related fields is a plus

**Why join**

Early, in-person team in San Francisco. You'll own core technical decisions from day one.

## Other open roles at Preload

- [Summer 2027 Intern (Any Team)](https://zerogtalent.com/robotics-jobs/preload/summer-2027-intern-any-team-121727) — San Francisco, CA
- [Mechanical / Soft-Goods Designer (Wearables)](https://zerogtalent.com/robotics-jobs/preload/mechanical-soft-goods-designer-wearables-121725) — San Francisco, CA
- [Pitch Your Own Role](https://zerogtalent.com/robotics-jobs/preload/pitch-your-own-role-121724) — San Francisco, CA
- [Software Engineer, Data Platform](https://zerogtalent.com/robotics-jobs/preload/software-engineer-data-platform-121721) — San Francisco, CA
- [Sensor Engineer (Wearables)](https://zerogtalent.com/robotics-jobs/preload/sensor-engineer-wearables-121720) — San Francisco, CA

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*Source: [Zero G Talent](https://zerogtalent.com), the job board for space, defense, AI, robotics and frontier-tech companies.*