MLOps Engineer
Atomic Machines3 months ago
Emeryville, CA, USASenior / Staff+
H1B sponsor
Base Salary
$200k - $250k/yr
Responsibilities
- Build and evolve the MLOps platform, including experiment tracking, model registry, packaging, automated training and retraining, deployment, and safe rollout and rollback.
- Build reliable batch, streaming, and real-time inference infrastructure for models and digital twins.
- Create ML data and feature pipelines from telemetry, knowledge graphs, images, time-series data, agentic conversations, and other production data.
- Maintain feature-store capabilities and an Apache Iceberg-on-S3 lakehouse foundation with data quality, lineage, versioning, and reproducibility.
- Build model observability and human-in-the-loop systems that capture production signals and expert corrections for evaluation and retraining.
- Develop standardized tooling and workflows that improve ML development speed, reliability, and reproducibility.
- Drive infrastructure, reliability, scalability, architecture, and technical-direction improvements through production.
- Collaborate with Process, Chemical, Materials, Simulation, Software, Data, AI, and Design engineers on deployment, serving, and data-collection requirements.
Requirements
- 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 with a strong MLOps or DevOps orientation.
- 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 experiment-tracking, model-registry, and model-lifecycle tooling.
- Experience with S3, Apache Iceberg or similar lakehouse technologies, and Airflow or Dagster or similar workflow orchestration tools.
- Experience building pipelines for multimodal ML data, including images, time-series, structured, and semi-structured data.
- Familiarity with manufacturing systems, sensors, process automation, or other physical-world data systems.
- Strong problem-solving, data-quality and reliability awareness, and clear technical communication.
- Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related STEM field, or equivalent practical experience.
- Bonus qualifications include feature stores, human-in-the-loop systems, active learning, data-labeling infrastructure, robotics or robotic automation, manufacturing ML systems, expert-feedback tools, model evaluation, and shared ML platforms.
Benefits
- The compensation package includes equity and benefits.
- The offices are located in Emeryville and Santa Clara, California.
- The role is open across multiple levels from early career through Staff, with level and compensation determined during the interview process.
Tech Stack
Categories
About Atomic Machines
Atomic Machines develops the Matter Compiler (MC-1), a digital, multi-process, multi-material micromanufacturing platform that fabricates complete micromachines and MEMS-class devices. The company plans to commercialize both the platform’s automated Nodes and device products, with an initial product aimed at AI data-center hardware. Founded in 2019 and headquartered in Emeryville, California, Atomic Machines is privately held and operates a hybrid fab to support rapid development and scale-up.