Sr ML Engineer
- Winnipeg, MB
- Permanent
- Full-time
- Design, develop, and deploy computer vision and perception models for real-time operation on autonomous agricultural machines.
- Own the full ML lifecycle from dataset design and data collection to training, evaluation, optimization, and deployment. Architect and implement scalable 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 and validate new approaches using real-world and synthetic data to improve detection, segmentation, and scene understanding under challenging conditions (e.g., dust, occlusion, lighting).
- Continuously evaluate model performance in the field and iterate to improve robustness across diverse crops, terrains, and climates.
- Foster a collaborative team environment by mentoring junior engineers, sharing knowledge, and helping grow internal ML capabilities. Contribute to building a high-performing team by identifying talent needs, supporting onboarding, and cultivating a culture of technical excellence.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 6+ years of experience developing and deploying ML models, with a focus on computer vision and embedded systems. Proven ability to lead technical direction and architecture for ML systems. especially in resource-constrained environments.
- Strong experience with ML Ops practices and infrastructure development.
- Hands-on experience with GPU-based computing and embedded deployment (Jetson or similar).
- Strong interpersonal skills and a collaborative mindset.
- 3 weeks' vacation per year
- Employee stock purchase plan
- Group insurance paid at 75% by the employer.
- Group RRSP with employer contribution.
- 24/7 online telemedicine and mental health platform for you and your family members
- Free coffee!