Senior AI Data Engineer for Scientific Infrastructure

Warp; South San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Warp is seeking a senior, hands-on AI data builder to own the data that powers Mol, XRay, and Bot across chemistry, lab perception, and robot-learning systems. You will define data strategy, source external data, create synthetic data loops, and ensure data quality and provenance.

You will collaborate with chemists, researchers, and robotics engineers to design data collection, labeling, and validation workflows, while keeping data aligned with experimental context and model objectives.

Qualifications

• A track record of improving model capabilities through better data, with hands-on ownership from identifying a gap to building the dataset and measuring results.
• Practical experience with ML data development: synthetic generation, model rollouts, multimodal datasets, expert annotation, or real-world collection.
• Strong understanding of data composition, sampling, demonstrations, rewards, and verifiers, and how they affect fine-tuning and RL.

Responsibilities

• Own the data agenda: Translate model failures and lab priorities into a collection and generation plan.
• Develop external data: Source and assess chemistry, scientific, and multimodal datasets. Build extraction, normalization, and enrichment pipelines.
• Build synthetic data & RL data loops: Generate examples, model rollouts, and simulated trajectories. Develop rewards, verifiers, and data filtering.
• Make physical experience useful for learning: Design and conduct lab and teleoperation data collection with chemists and robotics teams.
• Build AI-native curation workflows: Use models and agents to label, enrich, deduplicate, and mine data, with human review where it adds value.
• Measure data by capabilities it creates: Partner with researchers on data ablation, supervised fine-tuning, and RL experiments.
• Make the shared data foundation work: Build reliable ingestion, storage, lineage, retrieval, and dataset delivery with clean interfaces.

Skills

Data quality

ML data development

Python programming

Data provenance

Prioritization

Cross-team collaboration

Job description

Warp is seeking a senior, hands-on AI data builder to own the data that powers Mol, XRay, and Bot across chemistry, lab perception, and robot-learning systems. You will define data strategy, source external data, create synthetic data loops, and ensure data quality and provenance.

You will collaborate with chemists, researchers, and robotics engineers to design data collection, labeling, and validation workflows, while keeping data aligned with experimental context and model objectives.