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Open nowPosted 33 days ago

ML Engineer

Monarch10 open roles

Where
Emeryville, California
Work mode
On site
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Your applicationOpen nowML EngineerMonarch · Emeryville, California

  1. YouYes, apply to this one.

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Monarch postings stay open a median of 1 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: posted 33 days ago

Monarch median: 1 days open

The posting

We offer opportunities to do your life’s work while helping solve one of the most important technical and moral challenges of our time.

Full-time, in-office in Emeryville, California. Compensation includes equity.

Build the reliable systems that carry our data from an assay recording to a reproducible model, an evaluated prediction, and a usable recommendation for the next experiment.

Key Responsibilities

• 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

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

Desired Attributes

• Experience with PyTorch, JAX, or TensorFlow and workflow-orchestration tools

• Experience on Google Cloud or with large-scale object-storage pipelines

• Familiarity with computer vision, molecular machine learning, active learning, or scientific data platforms

• Instinct for simple systems, explicit failure modes, and measurable reliability

To learn more, visit monarchlabs.org https://monarchlabs.org

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