Data Engineer, Machine Learning

Highlights

• Build pipelines that turn voice and conversation data into ML training datasets.
• Design systems for versioning and tracing datasets behind every model run.
• Shape data infrastructure powering lifelike voice agents for daily life.

What they offer

• 401(k) max employer match: 3.5% of compensation
• 100% employer-paid health, vision, and dental benefits for you and your dependents
• Unlimited PTO and sick time
• Flexible spending account with employer matching up to $1,650/year (medical FSA)
• Guardian Employee Assistance Program (EAP)
• Opportunity to share in the company's success with competitive stock options

Ideal candidate

A collaborative data engineer with 5+ years supporting ML teams who cares deeply about data quality and reproducibility and thrives embedded with researchers turning messy multimodal data into trusted datasets.

Requirements

• 5+ years in data engineering, with meaningful experience supporting ML or AI teams specifically
• Strong SQL and Python skills — you'll use both daily
• Experience building and operating ETL/ELT pipelines at scale using modern data platforms and tooling
• Experience with workflow orchestration systems such as Airflow, Dagster, or Prefect
• Hands-on experience with ML data workflows: training data pipelines, dataset versioning, data labeling pipelines, or model evaluation data
• Solid understanding of how ML teams work and what makes a good training dataset
• Comfort working with unstructured and semi-structured data — audio, text, JSON logs
• Strong communication skills and ability to bridge data systems and model requirements