Embedded ML Engineer: Real-Time Vision for Autonomous Ag

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

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