Machine Learning Engineer

AGCO Corporation; Winnipeg; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Three weeks vacation per year

Employee Stock Purchase Plan

Group retirement plan with employer 80

Group insurance 75% paid

Employee Assistance Program

Job summary

AGCO Corporation is seeking a Machine Learning Engineer to design, deploy, and optimize computer vision models for real‑time operation on autonomous agricultural machines. You will own the ML lifecycle from data through deployment and collaborate with robotics and embedded teams to ensure robust, production‑ready solutions.

The role emphasizes building ML infrastructure for embedded systems, experimentation with real‑world and synthetic data, and delivering measurable impact in field conditions

Qualifications

• Strong fundamentals in machine learning and computer vision.
• 3+ years of experience developing, deploying, and optimizing ML models for CV and embedded systems.
• Experience with ML Ops practices and infrastructure development.
• Hands‑on with GPU‑based computing and embedded deployment (Jetson or similar). Proficiency with Docker and ROS2.
• Bachelor's or Master's degree in CS, Engineering, or related field, with collaborative mindset.

Responsibilities

• Design, develop, and deploy computer vision models for real‑time operation on autonomous agricultural machines.
• Own the full ML lifecycle: dataset design, collection, training, evaluation, optimization, and deployment.
• Build and enhance ML infrastructure for embedded systems, incl. validation and monitoring tools.
• Collaborate with robotics, embedded, perception, and systems teams to deploy ML solutions in production.
• Prototype and improve models using real‑world and synthetic data for robust detection and scene understanding.

Skills

ML basics

Computer vision

Embedded systems

ML Ops

GPU computing

Docker

ROS2

Education

Bachelor's or Master's in CS/Engineering

Tools

Jetson

Docker

ROS2

Job description

Solutions for Every Season. We engineer and deliver precision agriculture hardware, software, and cloud-based platforms that connect every corner of the farm. At PTx, we are redefining the future of agriculture through autonomy. Our focus is on building physical AI systems, where machine learning models directly interact with and control real-world machines operating in complex outdoor environments.

We are seeking a Machine Learning Engineer to develop embedded perception models and the infrastructure that supports them. This role is well-suited for a technically strong, hands‑on individual who excels at solving complex, real‑world challenges while maintaining a system‑level perspective and delivering measurable impact in the field.

In this role, you will take ownership of high-level application objectives and drive them from concept through deployment. You will work closely with cross‑functional teams to define problems, shape data strategies, and ensure solutions are robust, scalable, and production‑ready.

Your Impact

• Design, develop, and deploy computer vision and perception models for real-time operation on autonomous agricultural machines.
• Own the full ML lifecycle, including dataset design, data collection, training, evaluation, optimization, and deployment.
• Build and enhance ML infrastructure for embedded systems, including tools for validation, monitoring, and continuous improvement.
• Collaborate with robotics, embedded, perception, and systems engineering teams to integrate ML solutions into production environments.
• Prototype, validate, and continuously improve models using real‑world and synthetic data to enhance detection, segmentation, and scene understanding under challenging conditions (e.g., dust, occlusion, lighting) and ensure robustness across diverse crops, terrains, and climates.

Your Experience And Qualifications

• Strong fundamentals in machine learning and computer vision.
• 3+ years of experience developing, deploying, and optimizing ML models, with a focus on computer vision and embedded systems.
• Experience with ML Ops practices and infrastructure development.
• Hands‑on experience with GPU‑based computing and embedded deployment (e.g., Jetson or similar platforms). Proficiency with Docker and ROS2. Experience in robotics, autonomous vehicles, or real‑time systems is a strong plus.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with strong interpersonal skills and a collaborative, team‑oriented mindset.

Your Benefits

• Three (3) weeks of vacation per year.
• Employee Stock Purchase Plan offering eligible employees the ability to purchase AGCO stock at a discounted price.
• Group retirement plan with employer match.
• Group insurance paid at 75% by the employer.
• Employee Assistance Program.

Your Workplace

You will collaborate closely with PTx colleagues in Winnipeg, Canada, in an onsite environment that supports hands‑on testing, teamwork, and innovation.

We are committed to fostering an inclusive workplace and believe that diverse perspectives drive better outcomes for our customers, our communities, and our teams. Our approach to recruitment reflects that commitment by building teams that represent a broad range of experiences, backgrounds, cultures, and perspectives.

If you are contacted regarding an opportunity with us, you may request reasonable accommodation for the materials or activities used throughout the selection process.