Data & ML Engineer Rotational Development Program

AGCO • Tremont, IL

95d • $80,000 - $85,000

About The Position

Not everyone can claim to feed the world, but it is part of our every day. Behind everything we do for our farmers, there is one AGCO team making it happen. We are proud to put our curiosity to work, building a better and more sustainable world. Join our extraordinary team today! CATALYST, AGCO's rotational development program, is designed to offer in-depth career experiences, ongoing mentorship, and targeted training across a range of business areas. You will be immersed in meaningful experiences that directly make a difference. Full-time CATALYST positions allow you to rotate through two or more business areas over 18 months, helping you prepare for your next career steps within AGCO. We are looking for someone who is excited about a career in Data & Machine Learning (ML) and enthusiastic about providing industry-leading smart farming solutions to sustainably feed our world. This program offers to enhance knowledge in model training. From data ingest and aggregation, to scalable training jobs, and evaluating what actual improvements our customers should expect. You'll join a talented team with experts in artificial intelligence, computer vision, embedded Linux, and agronomy. Program Start Dates: January or May 2026.

Requirements

• Must be legally authorized to work in the United States and not require sponsorship for employment visa status now or in the future.
• Recent graduate or current student on track to complete a bachelor's degree before the start date, preferably in Computer Science, Engineering, or a related field.
• Strong programming skills in Python and familiarity with core data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/Pytorch).
• Familiar with cloud technologies for model development and deployment.
• A resourceful, problem-solving mindset with the ability to break down ambiguous challenges into concrete steps.

Nice To Haves

• Previous internships with AGCO or similar industries preferred.

Responsibilities

• Design, build, and automate robust production data pipelines using AWS Step Functions, Lambdas, and S3.
• Conduct machine learning experiments and evaluate model outcomes to improve our product for our customers.
• Analyze model failure cases, identifying patterns, and communicating what our models are learning to the rest of the team.
• Join agronomists in the field to see our models perform live, understand the real-world conditions our customers face, and bring those insights back to inform the next development sprint.

Benefits

• Real-world experience that builds critical skills, including leadership development.
• On the job technical training and mentoring.
• Opportunities to network with company leaders.
• Competitive compensation and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Machinery Manufacturing
• Education Level: Bachelor's degree