1 month ago
San Francisco, CA, USAMid Level
Base Salary
$163k - $208k/yr
Responsibilities
- Partner with Product and Engineering to improve production instrumentation and the product’s capture surface.
- Build and maintain reliable pipelines from canvas events through the warehouse to versioned training datasets.
- Implement dataset contracts, lineage, provenance, fingerprints, validation, and reproducibility systems.
- Design privacy, consent, isolation, and data-boundary safeguards for enterprise data agreements.
- Create governed and sanitized datasets for researchers and build mechanisms for collecting explicit designer feedback.
- Build data-quality checks, monitoring, and tooling to identify gaps, inconsistencies, and unexpected changes.
- Improve ML data standards and take ownership of broader areas of the ML data stack over time.
Requirements
- 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.
- Ability to work experimentally with researchers to turn ambiguous questions into measurable datasets.
- Good judgment around data quality and interpreting absent versus negative signals.
- Comfort working with evolving systems and standards.
- Collaborative engineering approach including documentation, feedback incorporation, and cross-functional work.
- Preferred: experience training models and understanding ML training data needs.
- Preferred: experience with preference data, labeling systems, human-feedback pipelines, or evaluation operations.
- Preferred: experience building data infrastructure under privacy, security, or contractual constraints.
- Preferred: experience with large-scale event or behavioral datasets.
- Preferred: experience with data systems supporting generative AI or multimodal models.
Benefits
- 100% employer-sponsored medical coverage for employees and 25% dependent coverage.
- Dental, vision, and mental health benefits.
- Meaningful equity ownership.
- Flexible paid time off.
- 401(k) with employer match.
- Annual Learning & Development allowance.
- Paid parental leave.
- Weekly catered lunch at the San Francisco headquarters.
- Monthly gym membership stipend.
- In-person, full-time role based in San Francisco, California.
Categories
Data Engineering
About Vizcom
Vizcom builds an AI-powered design platform that helps industrial and product design teams sketch, render, explore materials, work in 3D, and prepare concepts for production. Used by teams at Nike, GM, New Balance, and Hasbro, its tools turn early ideas into manufacturable directions and capture decision trails. Founded in 2021 and headquartered in San Francisco, the company is privately held.