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 chance involves distilling large foundation models for efficient 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.
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📌 Machine Learning Engineer - Detect & Track (Manitoba)
🏢 The Institute for Performance and Learning
📍 Manitoba