4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.
Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges.
We operate in a demanding environment where rigor, ownership, and execution are expected.
As an ML Research Engineer in the Visual Navigation team, you will join us at an early stage to heavily influence our technical direction.
Operating out of Paris, Lausanne or Zurich, you will focus on developing Machine Learning models to enable our drones to navigate on the battlefield, with.
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.
Candidate Req.