# ML Software Engineering Intern (PhD) at Bridge Neurotech

- Company: Bridge Neurotech
- What the company does: Bridge Neurotech is building a non-invasive interface for the mind. Our aim is to image the brain's activity using ultrasound without surgery or other modifications to the body. First research study enrolling in Redwood City, California. Backed by General Catalyst.
- Company website: https://bridgeneurotech.com
- Type: Startups (AI role)
- Level: Internship
- Location: Redwood City
- Work setup: On-site
- Posted: 2026-10-12
- Apply by: 2026-11-26
- Apply: https://jobs.ashbyhq.com/bridgeneurotech/50041fa1-417b-4269-8675-8c8746ed93bf?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/bridge-neurotech-ml-software-engineering-intern-phd/

## About the role

We are looking for a PhD student in machine learning or a related field to join Bridge for a six-month internship or co-op, working on the models and infrastructure behind our neural decoding pipeline: from raw functional ultrasound acquisition through image reconstruction, preprocessing, and decoding. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Currently enrolled in a PhD program in machine learning, computer science, electrical engineering, computational neuroscience, physics, or a related field
- Available full time for six months
- Strong Python and hands-on PyTorch development (or an equivalent framework such as JAX or TensorFlow)
- Experience taking a model from a paper or a prototype to something that trains reliably on real data
- Comfort with large numerical datasets and memory-mapped arrays
- Solid grounding in first principles, for example linear algebra and signal processing

Tags: Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/bridge-neurotech-ml-software-engineering-intern-phd/