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 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 solid 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. #J-18808-Ljbffr

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