Junior ML Research Scientist: Decision Making & Optimization

NAVER LABS Europe; Meylan; Sur place; EUR 40 000 - 60 000; Plein temps

Avantages offerts par ce poste

Flexible work/life balance

Supportive training for skill development

Collaborative environment

Résumé du poste

NAVER LABS Europe in Meylan is looking for early-career researchers and recent PhD graduates to join their Optimization with Learning team. The team focuses on machine learning and combinatorial optimization, driving solutions to real-world robotics problems.

This role entails conducting research, developing new models, and collaborating with engineers. A strong background in machine learning, experience with Python, and a willingness to engage in collaborative research are essential.

Benefits include a flexible work-life balance and a supportive, diverse work environment.

Qualifications

• Strong background in machine learning and sequential decision making.
• Excellent programming skills in Python.
• Experience with designing and evaluating machine learning models.

Responsabilités

• Conduct research on machine learning approaches for sequential decision making.
• Develop new models and algorithms using deep reinforcement learning.
• Collaborate with researchers to demonstrate approaches on real robotic systems.

Connaissances

Machine learning

Python

Deep learning frameworks

Collaborative work

Formation

PhD in machine learning or related field

Outils

PyTorch

Description du poste

NAVER LABS Europe in Meylan is looking for early-career researchers and recent PhD graduates to join their Optimization with Learning team. The team focuses on machine learning and combinatorial optimization, driving solutions to real-world robotics problems.

This role entails conducting research, developing new models, and collaborating with engineers. A strong background in machine learning, experience with Python, and a willingness to engage in collaborative research are essential.

Benefits include a flexible work-life balance and a supportive, diverse work environment.