Senior MLOps Engineer
John Deere1 day ago
Santa Clara, CA, USASenior
Base Salary
$125k - $187k/yr
Responsibilities
- Develop and maintain infrastructure, workflows, and operational practices supporting machine learning across perception and autonomy systems.
- Build scalable processes for data collection, curation, training, evaluation, deployment, and monitoring.
- Create tools for understanding model behavior, diagnosing failures, comparing experiments, and tracking quality over time.
- Improve automation, validation, release processes, and operational visibility for production ML deployments.
- Define and maintain standards for data management, experiment tracking, evaluation, testing, and model lifecycle management.
- Identify workflow bottlenecks and reliability issues and implement improvements to team velocity and confidence.
- Collaborate with robotics, cloud, data, software, perception, systems, and platform engineering teams.
- Contribute through design discussions, code reviews, documentation, and shared engineering practices.
Requirements
- At least 3 years of professional experience building, operating, or supporting software systems used by engineering teams.
- Working knowledge of machine learning workflows and challenges in developing, evaluating, deploying, or maintaining ML systems.
- Ability to design reliable and maintainable tools and infrastructure that improve developer productivity and system quality.
- Comfort working across software engineering, data, machine learning, cloud infrastructure, and production systems.
- Strong debugging, problem-solving, communication, and multidisciplinary collaboration skills.
- A bachelor’s or master’s degree in Computer Science, Engineering, Robotics, Data Science, or a related technical field, or equivalent professional experience.
- Preferred experience includes ML or data workflows at scale, edge-device model deployment, cloud infrastructure, distributed compute, containerized environments, workflow orchestration, data pipelines, dataset management, experiment tracking, model registries, robotics, autonomy, perception, sensor data, reliability, observability, automation, and internal tooling.
Benefits
- Flexible work arrangements and an onsite position in Santa Clara, California.
- Competitive base pay of $124,584.00-$186,864.00 plus benefits.
- Savings and retirement benefits, including 401K and Defined Contribution plans.
- Healthcare benefits with a company contribution to a Health Savings Account.
- Adoption assistance, Employee Assistance Programs, tuition assistance, fitness subsidies, and onsite gyms at select locations.
- Charitable contribution matching, an Employee Purchase Plan, discount programs, vacation pay, and holiday pay.
Tech Stack
Robot Framework
Categories
About John Deere
John Deere designs and manufactures agricultural, construction, and forestry equipment, engines, and turf/golf machinery, along with precision agriculture software and connected services. It sells machines, parts, and subscriptions through a worldwide dealer network and offers customer financing via John Deere Financial. Founded in 1837 and headquartered in Moline, Illinois, the company is publicly traded on the NYSE (ticker: DE).