# Member of Technical Staff — ML Infra (Data) at Nuance Labs

- Company: Nuance Labs
- What the company does: We are building visual conversational AI that feels human. Backed by Accel, Lightspeed and South Park Commons.
- Company website: https://www.nuancelabs.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: Seattle, Washington
- Work setup: On-site
- Pay: $200K to $300K base salary per year (USD)
- Posted: 2026-06-05
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/nuancelabs/jobs/4277601009
- Page: https://www.1752.vc/careers/jobs/nuance-labs-member-of-technical-staff-ml-infra-data/

## About the role

Model quality is ultimately a data problem. The best architecture and the best training run can't outrun bad, slow, or poorly curated data — and at the scale we're operating, the difference between a good data pipeline and a great one shows up directly in the model.

## What they're looking for

- Proven experience building and operating large-scale data pipelines in production — you've processed data at a scale where naive approaches break
- Strong proficiency with distributed data processing frameworks — Spark, Ray, Dask, or similar — and a clear sense of when to use each
- Solid software engineering fundamentals: you write clean, testable, maintainable code and understand why that matters when pipelines run unattended at scale
- Experience with multimodal data (video, audio) is a strong plus — understanding of formats, codecs, and processing libraries (FFmpeg, decord, etc.)
- Familiarity with ML data pipelines specifically — understanding of how data quality and format affect model training
- Ability to move fast: you can take a prototype script from a researcher and ship a production version in days, not weeks

Tags: Engineering