ML Engineer: Build Reproducible AI Pipelines (Equity)

Monarch; Emeryville (CA); Sur place; USD 140 000 - 210 000; Plein temps

Avantages offerts par ce poste

Equity

Résumé du poste

Monarch in Emeryville, California is hiring a full-time software engineer to build reliable pipelines that carry data from assay recording to a reproducible model, evaluated predictions, and usable recommendations for the next experiment.

You will own ingestion, validation, versioning, and joining of assay videos and metadata, build scalable training and evaluation infrastructure, and collaborate with researchers to balance speed and scientific rigor.

Qualifications

• Strong production software engineering experience in Python and modern machine-learning or data systems.
• Experience deploying and operating model-training, feature, evaluation, or inference pipelines in a cloud environment.
• Fluency with testing, observability, data validation, version control, and reproducible computational workflows.
• Ability to work with large video datasets and structured scientific data.
• Ability to collaborate closely with researchers while making sound engineering tradeoffs.

Responsabilités

• Own pipelines for ingesting, validating, versioning, and joining assay videos, metadata, compound records, model features, and experimental outcomes
• Build reproducible training and evaluation infrastructure with clear data lineage, model versioning, automated tests, and auditable outputs
• Turn research prototypes into dependable batch and online systems that can rank compounds and surface recommendations through our tools
• Monitor data quality, distribution shift, calibration, latency, cost, and failures as the number of labs and assays grows
• Design interfaces between computer vision, molecular models, active-learning systems, and the lab workflow
• Improve developer and researcher velocity without weakening scientific reproducibility or access controls

Connaissances

Python programming

ML/data systems

Testing & observability

Video data handling

Research collaboration

Description du poste

Monarch in Emeryville, California is hiring a full-time software engineer to build reliable pipelines that carry data from assay recording to a reproducible model, evaluated predictions, and usable recommendations for the next experiment.

You will own ingestion, validation, versioning, and joining of assay videos and metadata, build scalable training and evaluation infrastructure, and collaborate with researchers to balance speed and scientific rigor.