Senior ML Robotics Scientist – Foundation Models

NAVER LABS Europe; Meylan; Sur place; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Flexible work/life balance

Collaborative environment

Résumé du poste

NAVER LABS Europe in Meylan seeks a Senior Scientist in Machine Learning and Robotics to lead pioneering research and contribute to advancements in robotic learning. This position requires a PhD and expertise in AI for robotics, alongside excellent programming skills in Python and PyTorch.

The ideal candidate will demonstrate a history of impactful research leadership, enabling transformative projects that address complex real-world challenges.

We offer a cooperative environment, flexible work-life balance, and a commitment to diversity and inclusion.

Qualifications

• Extensive professional experience in AI for robotics.
• Demonstrated ability to recruit, mentor and lead high-performing research teams.
• Hands-on experience developing and deploying deep learning systems.
• Strong working knowledge of computer vision, NLP, and multimodal models.
• Excellent communication skills in English.

Responsabilités

• Spearhead and expand research in robotic learning.
• Guide high-impact research teams and contribute to foundational breakthroughs.
• Develop foundation models and apply them to robotics.

Connaissances

AI for robotics

Computer vision

Natural language processing (NLP)

Multimodal models

Python programming

PyTorch

Deep learning systems development

Real-world robotic experiments

Physics-based simulators

Formation

PhD in robotics or machine learning

Description du poste

NAVER LABS Europe in Meylan seeks a Senior Scientist in Machine Learning and Robotics to lead pioneering research and contribute to advancements in robotic learning. This position requires a PhD and expertise in AI for robotics, alongside excellent programming skills in Python and PyTorch.

The ideal candidate will demonstrate a history of impactful research leadership, enabling transformative projects that address complex real-world challenges.

We offer a cooperative environment, flexible work-life balance, and a commitment to diversity and inclusion.