# Member of Technical Staff — ML Data Infra

**Company:** [Nuance Labs](https://hotfix.jobs/companies/nuance-labs)
**Location:** Seattle, WA
**Role:** Data Engineering
**Salary:** $200k – $300k/yr
**Experience:** 5+ years
**Skills:** Spark, Ray, Dask, Ffmpeg, Dvc, Delta Lake, Apache Iceberg, Python, Distributed Data Processing, Multimodal Data Processing
**Posted:** 2026-06-05

> Build and operate large-scale multimodal data pipelines for AI avatar model training. Design production-grade systems for petabyte-scale video, audio, and text data.

## Job Description

## What You'll Do
- Design, build, and operate large-scale data pipelines for ingestion, processing, filtering, and curation of multimodal training data (video, audio, text)
- Take research-grade data processing code and turn it into robust, production-level pipelines — quickly and without losing correctness
- Optimize pipeline throughput and efficiency at scale; identify and eliminate bottlenecks across compute, I/O, and storage
- Build and maintain data quality systems — deduplication, filtering, validation, and quality scoring at scale
- Manage petabyte-scale datasets: storage architecture, versioning, lineage tracking, and cost efficiency
- Work closely with researchers to understand data requirements and translate them into scalable processing systems
- Build tooling and infrastructure that makes the research team faster — efficient data access, reproducible processing, and fast iteration loops

## What We'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

## Bonus Points
- Experience building data pipelines for large-scale model training (pre-training or fine-tuning)
- Familiarity with data versioning and lineage tools (DVC, Delta Lake, Apache Iceberg, etc.)
- Experience with streaming data pipelines or online data processing
- Prior work at an AI lab, video platform, or other data-intensive company
- Contributions to open-source data tooling

## Compensation
- $200,000 – $300,000 base salary, plus meaningful equity
- Health: HSA plan with ~$2,000 in company contributions
- PTO: 15 days + public holidays, and we close for a full week over the holidays
- Lunch, beverages, and snacks on us every workday
- Commuter benefits
- 401K: In the works

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**Apply:** https://hotfix.jobs/jobs/ea8e9b84-6030-49ea-809a-f4c39f9347c7
**Canonical:** https://hotfix.jobs/jobs/ea8e9b84-6030-49ea-809a-f4c39f9347c7