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← Atomic Machines

MLOps Engineer

Atomic Machines
Location
Emeryville, California
Posted
24 days ago
Department
Artificial Intelligence Engineering
What they actually want (must-haves)
  • 5+ years of relevant industry experience building production software, infrastructure, data, or machine learning systems
  • Proven experience building and operating machine learning systems in production
  • Strong DevOps fundamentals, including CI/CD, containers, Kubernetes, cloud infrastructure, and infrastructure-as-code
  • Proficiency in Python and SQL
  • Hands-on experience with MLflow or similar tooling for experiment tracking, model registry, and model lifecycle management
  • Experience with S3, lakehouse technologies such as Apache Iceberg, and workflow orchestration tools such as Airflow or Dagster
Nice to have
  • Experience with feature stores, human-in-the-loop systems, active learning, or data-labeling infrastructure
  • Robotics or robotic automation experience, including sensors, vision systems, or robotics data
  • Experience operating ML systems in manufacturing or other physical-world environments
  • Experience building internal tools for expert feedback, labeling, model evaluation, or model interaction
  • Experience designing shared ML infrastructure or platforms used across multiple teams or applications
What the job really is

As an MLOps Engineer at Atomic Machines, you will be responsible for building and maintaining the infrastructure that transitions AI and machine learning models from experimentation to reliable production. Your role will involve developing the MLOps platform, operating model serving infrastructure, and creating data pipelines while collaborating with cross-functional teams to ensure the models improve through continuous feedback and retraining.

Benefits
  • Equity and benefits
Things to weigh
  • Salary range is $200,000 — $250,000 USD
  • Role open across multiple levels, which may affect team dynamics and expectations
  • Focus on DevOps-oriented MLOps may limit exposure to other areas of machine learning
Job score2.8/5
Benefits1/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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