---
title: "ML Engineer"
company: "Monarch"
company_url: "https://www.remjobs.works/companies/monarch"
url: "https://www.remjobs.works/job/monarch-ml-engineer-2a144638-e7df-4682-981d-a532ac755f51"
apply_url: "https://jobs.ashbyhq.com/monarchcrops/dee35c8e-d6f4-4cc2-b019-0f73ec2eba23"
workplace: onsite
location: "Emeryville, California"
employment_type: full-time
seniority: mid
role: ai-machine-learning
region: united-states
skills: ["computer-vision", "gcp", "python", "pytorch", "tensorflow"]
date_posted: 2026-09-05T00:06:16.288Z
first_seen_by_remjobs: 2026-09-19T22:09:25.054Z
---

# ML Engineer

**Monarch** · Emeryville, California

Apply: https://jobs.ashbyhq.com/monarchcrops/dee35c8e-d6f4-4cc2-b019-0f73ec2eba23

## About Monarch

Monarch Casino Resort Spa Black Hawk offers an unforgettable gaming experience near Denver. Discover live entertainment, buffet dining & a spa. Book now!

## About the role

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

---

Source: Monarch's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/monarch-ml-engineer-2a144638-e7df-4682-981d-a532ac755f51