Nestlé
Reinforcement Learning Intern(m/w/x)
Full-timeInternshipOn-site
Orbe
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NENestlé Deep Tech Center
Intelligent Robotics Intern(m/w/x)
Orbe
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Prototyping and training robot policies using physics-based simulators and evaluating Sim2Real transfer. Exposure to robot foundation models a plus. International, diverse, equitable, inclusive work environment.
Requirements
- Master’s degree in Robotics, AI, CS, or related
- Machine learning foundations and data engineering
- Robot learning approaches (imitation, reinforcement, policy)
- Exposure to robot foundation or world models (plus)
- Knowledge of robotics simulators (Omniverse, MuJoCo)
- Curiosity and motivation for robotics research
- Motivation to follow latest advances in ML
- English (professional working proficiency)
- French (plus)
Tasks
- Design and implement learning-based policy pipelines
- Use physics-based simulators for prototyping and training
- Evaluate policies with a focus on Sim2Real transfer
- Experiment with embodied/physical AI approaches
- Assess applicability of vision-language-action models
- Build and maintain training pipelines
- Manage datasets for robot learning experiments
- Set up evaluations for robot learning experiments
- Run controlled experiments and analyze results
- Iterate on models and system design
- Stay current with Physical AI research
- Translate research ideas into applied solutions
Education
- Currently in higher education
Languages
- English – Business Fluent
- French – Basic
Tools & Technologies
- NVIDIA Omniverse
- Isaac Sim
- MuJoCo
- imitation learning
- reinforcement learning
- policy learning
- robot foundation models
- world models
Benefits
Informal Culture
- International, diverse, equitable, inclusive work environment
Purpose-Driven Work
- Opportunities to have an impact
Learning & Development
- Endless learning opportunities
Other Benefits
- Enriching experiences
- Accessibility of recruitment process
- Confidential information treatment
Mentorship & Coaching
- Strong mentorship
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Nestlé Deep Tech Center and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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NENestlé Deep Tech Center
Intelligent Robotics Intern(m/w/x)
Orbe
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Prototyping and training robot policies using physics-based simulators and evaluating Sim2Real transfer. Exposure to robot foundation models a plus. International, diverse, equitable, inclusive work environment.
Requirements
- Master’s degree in Robotics, AI, CS, or related
- Machine learning foundations and data engineering
- Robot learning approaches (imitation, reinforcement, policy)
- Exposure to robot foundation or world models (plus)
- Knowledge of robotics simulators (Omniverse, MuJoCo)
- Curiosity and motivation for robotics research
- Motivation to follow latest advances in ML
- English (professional working proficiency)
- French (plus)
Tasks
- Design and implement learning-based policy pipelines
- Use physics-based simulators for prototyping and training
- Evaluate policies with a focus on Sim2Real transfer
- Experiment with embodied/physical AI approaches
- Assess applicability of vision-language-action models
- Build and maintain training pipelines
- Manage datasets for robot learning experiments
- Set up evaluations for robot learning experiments
- Run controlled experiments and analyze results
- Iterate on models and system design
- Stay current with Physical AI research
- Translate research ideas into applied solutions
Education
- Currently in higher education
Languages
- English – Business Fluent
- French – Basic
Tools & Technologies
- NVIDIA Omniverse
- Isaac Sim
- MuJoCo
- imitation learning
- reinforcement learning
- policy learning
- robot foundation models
- world models
Benefits
Informal Culture
- International, diverse, equitable, inclusive work environment
Purpose-Driven Work
- Opportunities to have an impact
Learning & Development
- Endless learning opportunities
Other Benefits
- Enriching experiences
- Accessibility of recruitment process
- Confidential information treatment
Mentorship & Coaching
- Strong mentorship
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Nestlé Deep Tech Center and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Nestlé Deep Tech Center
Industry
Food
Description
The company develops cutting-edge technologies to accelerate global innovation in food and enhance quality of life.
Not a perfect match?
- Nestlé
Reinforcement Learning Intern(m/w/x)
Full-timeInternshipOn-siteOrbe - Nestlé Deep Tech Center
Physics Informed Machine Learning Intern(m/w/x)
Full-timeInternshipOn-siteOrbe - Nestlé Deep Tech Center
Senior / Principal Applied Machine Learning Scientist(m/w/x)
Full-timeOn-siteSeniorOrbe - Nestle Operational Services Worldwide SA
Nutrition Intern(m/w/x)
Full-timeInternshipOn-siteOrbe - Nestlé Product Technology Centre Coffee
Associate R&D Specialist Packaging - Material Characterization(m/w/x)
Full-timeOn-siteExperiencedOrbe