Senior Engineer, Machine Learning & AI

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. All qualified applicants will receive consideration for employment without regards to, among other things, 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.

Primary

Location:

United States (US) – IA – Cedar Falls

Function: Technology

Title: Senior Engineer, Machine Learning & AI
-2026002

Onsite/Remote: Onsite Position

As a Senior Engineer, Machine Learning & AI for John Deere in Cedar Falls, IA, you will:

• Plans, coordinates, and performs Machine Learning and AI work in product engineering as an expert in applying ML and AI to off-road engine and aftertreatment system development and analysis.
• Operates in a team environment and may act as lead person, providing technical leadership and design solutions.
• May assign, coordinate and review portions of the work to other engineers and support personnel.
• Provides technical consultation and a knowledge base across an engineering organization.
• Up to 15% domestic and international required to meet with US and global team members, company meetings, receive training, and meet with suppliers. Must live within normal commuting distance of the worksite. Up to 40% remote work allowed.

• 6 years of experience in design and optimize internal combustion engines (ICE) and exhaust aftertreatment (Use the "Apply for this Job" box below). heavy-duty off-road machinery using development processes, simulation, calibration, and testing
• 4 years of experience in build and maintain data pipelines using engineering datasets to support Machine Learning (ML) and AI deployment with Databricks, MATLAB, cloud platforms, and Python
• 4 years of experience in leverage neural networks and deep learning frameworks (e.g. Tensor Flow and PyTorch) to develop ML/AI models to characterize non-linear behaviors in ICE and AT systems
• 4 years of experience in apply ML/AI techniques for pattern recognition, clustering, and anomaly detection to enable predictive maintenance and diagnostics in ICE and AT systems
• 4 years of experience in implement multi-objective optimization using Reinforcement Learning for ICE and AT performance, calibration, and development decisions. Integrate with simulation tools (e.g. GTSuite and MATLAB)
• 2 years of experience in create Natural Language Processing and gen. AI workflows for text analysis using Large Language Model tools incl. semantic search to extract insights from unstructured engineering data
• 4 years of experience in drive adoption of ML and AI solutions across engineering teams to support ICE and AT development
• 3 years of experience in lead complex engineering projects by managing teams with technical guidance and Agile planning

• Bachelor's degree in Mechanical Engineering or related field plus 6 years related experience.

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 and performance bonuses
• 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
• Fi…