Help collect and categorize data from public sources as well as from our customer base (when authorized).
Support training data workflows — we outsource annotation, but data still needs validation and sometimes transformation for the target network.
Improve test performance and ensure compatibility with new hardware — not only in the NVIDIA ecosystem with the Jetson edge platform, but also on programmable FPGAs and server-grade CPUs (e.g., Intel).
Test, improve, and tune existing algorithms (neural networks, Bayesian/Markov models, decision trees, reinforcement learning networks, Gaussian models, etc.).
Port existing solutions (and training data) to different frameworks.

We are technology-agnostic but favor TensorFlow, Keras, and PyTorch. Strong Python skills are important both for data analysis and for integrating with our Python-based backend.
We require either practical work experience or solid theoretical knowledge (or both).
Education: bachelor’s degree in a science or engineering discipline preferred; master’s degree or PhD is an advantage.

Prestigious location: Overlooking the Monaco Grand Prix circuit and port.
Outdoor sports paradise: nearby mountains for skiing, excellent cycling routes, and of course the sea.
Small team: adopting modern development practices.
New ideas are encouraged — we try most things but always keep what works for us.
Diverse team: our local Monaco team is multicultural, combining experienced engineers with top recent graduates.
Passionate environment: we are passionate and enjoy what we do!

Machine Learning Engineer

Key skills