Drimva

Vizcom

Data Engineer, Machine Learning

$163K–$208K

San Francisco · Hybrid · Full-time · Posted Oct 7, 2026

About the job

Build production data systems that capture professional design workflows and turn them into reliable, privacy-governed preference datasets for machine learning research and training.

What you'll do

  • Improve product instrumentation and build pipelines from product events through the warehouse into versioned, reproducible training datasets.
  • Implement dataset lineage, quality monitoring, and privacy safeguards that support traceability and appropriate data use.
  • Work with researchers, Product, and Engineering to create and validate research-ready datasets and feedback collection mechanisms.

What they ask for

  • Experience building data infrastructure, ML data systems, or production data pipelines used by other teams.
  • Strong software engineering skills and experience building reliable production systems.
  • Experience designing data models and pipelines with reproducibility, observability, and lineage in mind.
  • Comfort working with large or complex datasets and debugging across multiple parts of a data system.

Nice to have

  • Experience training models or working with preference data, labeling systems, human-feedback pipelines, or evaluation operations.
  • Experience building data infrastructure under privacy, security, or contractual constraints, or supporting generative AI or multimodal models.

Pay

$163,000 - $208,000 USD base salary

AI focus

Build data infrastructure and preference datasets for ML research and training, including data capture, governance, lineage, and reproducibility.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)