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Machine Learning Research Engineer – Visual Navigation

Harmattan AI· R&D
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Lausanne, Zurich, ParisFull-timePosted 4d ago

About the role

ML Research Engineer focused on developing ML models for visual navigation of drones, with responsibilities spanning data curation, model architecture, onboard inference, edge deployment, MLOps, and field validation; part of Harmattan AI's Visual Navigation team.

Responsibilities

  • DL Algorithm Development: Design deep learning models to analyze a drone's environment in multiple modalities and enable its localization through time and space.
  • Edge AI Optimization: Embed models on heterogeneous platforms with limited shared compute. Optimize trade-offs between model speed and accuracy to minimize pipeline latency.
  • Cross-Team Collaboration: Partner with the VIO, Navigation, and Embedded Software teams to build a robust, real-time localization pipeline, communicating trade-offs clearly to stakeholders.
  • Research & Innovation: Stay at the absolute forefront of scientific trends in Deep Learning to introduce cutting-edge methodologies to the team.
  • Pipeline Management & MLOps: Build, heavily modify, and manage training, evaluation, and MLOps pipelines while ensuring reproducibility, robust logging, and version control.
  • Validation & Field Testing: Actively participate in real-world flight tests. Analyze in-field failures to continuously iterate and improve deployed models.

Qualifications

  • Strong academic record with a STEM degree (e.g., Computer Science, Machine Learning, Robotics, Mathematics).
  • Proven track record of researching and productizing Deep Learning models for Computer Vision in the industry (Drones, Robotics, Autonomous Vehicles, etc.)
  • Proficiency in Python and DL frameworks (PyTorch/Lightning). Experience with MLOps and edge deployment optimization.

Skills

Required:Deep LearningComputer VisionPythonPyTorch/LightningMLOps
Last updated Oct 21, 2026. Interested? Apply on the company site.
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Building the Future of Autonomous Warfare.

Building the Future of Autonomous Warfare.

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