ML Data Engineer: Preference Data Pipelines

Doist; San Francisco (CA); On-site; USD 250,000 - 400,000; Full time

Job summary

Vizcom in San Francisco is seeking an ML data engineer to build the flywheel that turns design work into training-grade data and vice versa. You will work with researchers and product code to ensure signals are captured, stored, and reusable for training.

The role emphasizes live pipelines, enterprise-grade data governance, and responsible data collection. Visa sponsorship is available; in-person work in SF is expected.

Qualifications

• Have built training-data or large-scale data pipelines that others depended on.
• Demonstrate an experimentalist mindset in data work.
• Experience with data under real privacy or contractual constraints is a plus.

Responsibilities

• Develop the data capture surface in collaboration with product engineers.
• Design pipelines from canvas to warehouse to training set that are versioned and reproducible.
• Define dataset contracts and lineage for traceability.
• Establish boundary systems for enterprise agreements, consent, and isolation.
• Build collection instruments to gather explicit feedback from designers.
• Encode ambiguity in data handling and ensure interpretable outcomes.

Skills

Training-data pipelines

Experimental mindset

Model training experience

Privacy/contractual data handling

Data-quality governance

Job description

Vizcom in San Francisco is seeking an ML data engineer to build the flywheel that turns design work into training-grade data and vice versa. You will work with researchers and product code to ensure signals are captured, stored, and reusable for training.

The role emphasizes live pipelines, enterprise-grade data governance, and responsible data collection. Visa sponsorship is available; in-person work in SF is expected.