Machine Learning Engineer

Kibbi Technologies Inc.; Winnipeg; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Three weeks vacation

Employee Stock Purchase Plan

Retirement plan with employer match

Group health insurance 75%

Employee Assistance Program

Job summary

PTx is seeking a Machine Learning Engineer to design and deploy embedded perception models for autonomous agricultural machines based in Winnipeg, Canada. You will own end-to-end ML workflows from data collection to deployment, with production-ready infrastructure supporting real-time vision on edge devices.

You will collaborate with robotics, embedded, perception and systems teams to solve complex outdoor challenges, optimize models for robustness, and contribute to scalable ML tooling 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.

Responsibilities

• 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 and ensure robustness across crops, terrains, and climates.

Skills

Machine learning

Computer vision

ML Ops

Embedded deployment

GPU computing

Docker

ROS2

Jetson

Robotics experience

Education

CS/Engineering degree

Tools

Docker

ROS2

Jetson

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.