Job description

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW. John Deere is an equal opportunity employer, including disabled & veterans. Primary Location: United States (US) - California - Santa Clara Function: Technology (CA) Title: Senior MLOps Engineer - 123779 Onsite/Remote: Onsite Position Your Responsibilities As a Senior MLOps Engineer for John Deere Intelligent Solutions Group located in Santa Clara , CA , you will: • Develop and maintain the infrastructure, workflows, and operational practices that support machine learning across the perception and autonomy stack. • Build scalable, reliable processes for moving data from collection through curation, training, evaluation, deployment, and monitoring. • Partner with perception, robotics, systems, and platform engineers to make ML development faster, more reproducible, and easier to operate in production. • Create and improve tools that help the team understand model behavior, diagnose failures, compare experiments, and track quality over time. • Support production deployment of ML capabilities by improving automation, validation, release processes, and operational visibility. • Help define and maintain practical standards for ML workflows, including data management, experiment tracking, evaluation, testing, and model lifecycle management. • Identify bottlenecks and reliability issues in existing ML and data workflows, then propose pragmatic improvements that increase team velocity and confidence. • Collaborate across teams to ensure ML systems integrate cleanly with broader robotics, cloud, data, and software infrastructure. • Contribute to a strong engineering culture through thoughtful design discussions, code reviews, documentation, and shared best practices. VISA Sponsorship is NOT available for this position What Skills You Need • 3+ years of professional experience building, operating, or supporting software systems used by engineering teams. • Working knowledge of machine learning workflows and the practical challenges involved in developing, evaluating, deploying, or maintaining ML-based systems. • Ability to design reliable, maintainable tools and infrastructure that improve developer productivity and system quality. • Comfort working across boundaries between software engineering, data, machine learning, cloud infrastructure, and production systems. • Strong debugging, problem-solving, and communication skills in ambiguous technical environments. • Demonstrated ability to collaborate effectively with multidisciplinary teams and drive practical improvements to shared engineering workflows. What Makes You Stand Out • Experience supporting ML or data workflows at scale, including training, evaluation, deployment, or monitoring. • Experience optimizing and deploying trained models on compute-limited edge devices. • Familiarity with cloud infrastructure, distributed compute, containerized environments, or workflow orchestration. • Experience with data pipelines, dataset management, experiment tracking, model registries, or related ML lifecycle tools. • Background working with robotics, autonomy, perception, sensor data, or other systems that combine ML with real-world operational constraints. • Comfort improving reliability, observability, automation, and repeatability in complex engineering systems. • Experience enabling teams through internal tools, platforms, documentation, or shared engineering practices. • Interest in building pragmatic infrastructure that supports applied ML in production rather than focusing solely on research novelty Education Ideally, you will have a degree or equivalent related work experience in the following: • Bachelor’s or Master’s degree in Computer Science, Engineering, Robotics, Data Science, or a related technical field. • Equivalent professional experience will be considered in lieu of a formal degree. • Coursework or demonstrated expertise in software engineering, machine learning systems, data infrastructure, or robotics is a plus. What You'll Get At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including: • Flexible work arrangements • Highly competitive base pay • Savings & Retirement benefits (401K and Defined Contribution) • Healthcare benefits with a generous company contribution in the Health Savings Account • Adoption assistance • Employee Assistance Programs • Tuition assistance • Fitness subsidies and on-site gyms at specific Deere locations • Charitable contribution match • Employee Purchase Plan & numerous discount programs for personal use • Vacation and Holiday Pay $124,584.00 - $186,864.00 + Benefits Follow this link to learn more about our Total Rewards Package bit.ly Must be 18 years of age or older to apply The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines. The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control. ACA Section 1557 Nondiscrimination Notice The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.

Requirements

Must-haves

John Deere is an equal opportunity employer, including disabled & veterans.
Primary Location: United States (US) - California - Santa Clara
Function: Technology (CA)
Title: Senior MLOps Engineer - 123779
Onsite/Remote: Onsite Position
As a Senior MLOps Engineer for John Deere Intelligent Solutions Group located in Santa Clara , CA , you will:
Develop and maintain the infrastructure, workflows, and operational practices that support machine learning across the perception and autonomy stack.
Build scalable, reliable processes for moving data from collection through curation, training, evaluation, deployment, and monitoring.
Partner with perception, robotics, systems, and platform engineers to make ML development faster, more reproducible, and easier to operate in production.
Create and improve tools that help the team understand model behavior, diagnose failures, compare experiments, and track quality over time.
Support production deployment of ML capabilities by improving automation, validation, release processes, and operational visibility.
Help define and maintain practical standards for ML workflows, including data management, experiment tracking, evaluation, testing, and model lifecycle management.
Identify bottlenecks and reliability issues in existing ML and data workflows, then propose pragmatic improvements that increase team velocity and confidence.
Collaborate across teams to ensure ML systems integrate cleanly with broader robotics, cloud, data, and software infrastructure.
Contribute to a strong engineering culture through thoughtful design discussions, code reviews, documentation, and shared best practices.
VISA Sponsorship is NOT available for this position
What Skills You Need
3+ years of professional experience building, operating, or supporting software systems used by engineering teams.
Working knowledge of machine learning workflows and the practical challenges involved in developing, evaluating, deploying, or maintaining ML-based systems.
Ability to design reliable, maintainable tools and infrastructure that improve developer productivity and system quality.
Comfort working across boundaries between software engineering, data, machine learning, cloud infrastructure, and production systems.
Strong debugging, problem-solving, and communication skills in ambiguous technical environments.
Demonstrated ability to collaborate effectively with multidisciplinary teams and drive practical improvements to shared engineering workflows.

Nice-to-haves

Coursework or demonstrated expertise in software engineering, machine learning systems, data infrastructure, or robotics is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlgo

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

401k