Machine Learning Research Engineer – Visual Navigation
Harmattan AI1 day ago
Paris, France or Zürich, SwitzerlandSenior
Responsibilities
- Design deep learning models for multimodal environmental analysis and drone localization.
- Optimize and deploy models on heterogeneous edge platforms with limited compute while balancing speed and accuracy.
- Collaborate with VIO, Navigation, and Embedded Software teams on a real-time localization pipeline.
- Build and manage training, evaluation, and MLOps pipelines with reproducibility, logging, and version control.
- Research emerging deep learning methods and introduce relevant techniques to the team.
- Participate in real-world flight tests, investigate failures, and improve deployed models.
Requirements
- A strong academic record and a STEM degree such as Computer Science, Machine Learning, Robotics, or Mathematics.
- A proven track record researching and productizing deep learning models for computer vision in industry, including domains such as drones, robotics, or autonomous vehicles.
- Proficiency in Python and deep learning frameworks including PyTorch and Lightning.
- Experience with MLOps and edge deployment optimization.
- Highly structured, analytical, research-oriented, and able to communicate complex algorithmic benchmarks to stakeholders.
- Willingness to work hands-on in a fast-paced environment and demonstrate full commitment to the company's mission.
Categories
ML EngineeringRobotics
About Harmattan AI
Harmattan AI builds autonomous defense systems—air and multi-domain robots and the software that coordinates them—for military and government customers. Its products span autonomy stacks for high-speed flight, guidance and control, computer vision, and radar-enabled sensing, delivered as deployable platforms and integrated software. Founded in 2024 and headquartered in Paris, the privately held company operates as a defense prime serving allied forces.