Shape the future of autonomous systems with Harmattan AI as a Machine Learning Engineer focused on Detect and Track Distillation. Optimize models for embedded systems while pushing boundaries. As a key player in the Detect & Track Distillation team, you will influence the technical direction from early stages.

This opportunity involves distilling large foundation models for effective target detection, classifying data, and re-identifying targets over time. You will primarily work from Lausanne, Paris, or Zurich, applying advanced techniques in model optimization and machine learning operations. Key Responsibilities:

- Distill foundation models into task-specific components
- Optimize neural networks for embedded hardware constraints




- Manage MLOps pipelines ensuring robust logging
- Collaborate on data curation for improved model accuracy
- Benchmark distilled models for performance evaluation Requirements:
- Degree in STEM field with strong academic record
- Experience in computer vision and deep learning
- Expertise in model compression and edge AI deployment
- Proficiency in MLOps and GPU compute
- Strong analytical and communication skills Bring your expertise in machine learning and computer vision to Harmattan AI, enhancing robust defense solutions.

📌 Machine Learning Engineer - Detect & Track (Winnipeg)
🏢 The Institute for Performance and Learning
📍 Winnipeg