# ML Infrastructure Engineer at Echo Labs

- Company: Echo Labs
- What the company does: Echo Labs is a cutting-edge AI captioning platform built for higher education. Transform your institution. Backed by AI Grant and Techstars.
- Company website: https://el.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-07-17
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/echo/jobs/4320966009
- Page: https://www.1752.vc/careers/jobs/echo-labs-ml-infrastructure-engineer/

## About the role

Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life. Design and build systems ML cloud infrastructure to enable massive-scale modeling and analytics

## What they're looking for

- Bachelor's degree in Computer Science, Electrical Engineering, or a related technical discipline
- 5+ years of industry experience in software engineering, large-scale data infrastructure, or systems ML
- Extensive proficiency in Python
- Familiarity with PyTorch
- Experience designing, building, and maintaining high-throughput data pipelines for large and diverse datasets
- Experience working with distributed-training frameworks (e.g. FSDP, DeepSpeed, Megatron-LM, Ray, etc.)

Tags: Machine Learning