The Nestlé Deep Tech Center is where we develop and evaluate cutting-edge technologies to accelerate Nestlé’s global innovation mission and shape the future of food at scale. Leveraging advanced robotics and sensor technologies, AI, machine learning and digital twins, we are driving smarter manufacturing, delivering breakthrough consumer experiences, and maximizing our research and innovation capabilities.  Every project here connects you to Nestlé’s purpose: unlocking the power of food to enhance quality of life for individuals, families, communities, and the planet, today and for generations to come.

Based in Orbe, Switzerland, and complemented by our Deep Tech Hub in Shenzhen, China, our state-of-the-art facility fosters a collaborative working environment, with creative spaces, rapid‑prototyping labs, automated kitchens, and pilot plants, so innovation moves fast from concept to reality.

Ready to build technology that matters? Join us and be a force for good!

Position Snapshot

Location: Orbe (near Lausanne), Switzerland

Company: Nestlé Deep Tech Center

Act. Rate: Full-Time Act. Rate 100%
Type of contract: Internship, 6 months

Start date : June-September 2026, flexible

What we offer at Nestlé

International, diverse, equitable and inclusive work environment : Read more about our Nestlé Community

Opportunities to have an impact and contribute to your team’s success

Endless learning opportunities and enriching experiences

Strong mentorship for your professional growth

Position Summary 

As a Reinforcement Learning Intern, you will support the Nestlé Deep Tech Center in research and prototyping around reinforcement learning (RL) and sequential decision-making, with applications in learning-based control and optimization. This role offers a unique opportunity to contribute to building RL pipelines, running experiments, evaluating algorithms, and integrating RL modules into ongoing projects.

The role reports directly to the Applied Machine Learning R&D Specialist, in the Artificial Intelligence group.

A Day in the Life of a Reinforcement Learning Intern

• Building end-to-end RL pipelines (environment setup, training loops, evaluation harnesses, logging, reproducibility)
• Prototyping and benchmarking RL approaches for control policy learning, including exploration strategies and reward design
• Working with simulated environments and (when relevant) simulation-to-real transfer constraints to ensure methods translate beyond training setups
• Evaluating algorithms rigorously (ablations, sensitivity analyses, generalization tests), and communicating findings to relevant stakeholders
• Improving data/experiment workflows (dataset handling, experiment tracking, computing efficiency) to accelerate iteration cycles
• Staying close to current research and practical advances in RL / sequential decision-making, and translating relevant ideas into applied solutions

What will make you successful

• Currently enrolled in or recently graduated with a master’s degree in Computer Science, Artificial Intelligence or Machine Learning, Applied Mathematics, Control, Engineering, or a related field
• Foundations in reinforcement learning / sequential decision-making (MDPs, policy/value methods, offline RL or related areas are a plus)
• Solid programming skills (Python) and familiarity with modern ML tooling (e.g., PyTorch / TensorFlow)
• Experimental mindset: hands-on experience with coding, data handling, debugging, etc. earned through academical or professional projects
• Curiosity and motivation to follow research and latest advances in RL and applied ML
• English (professional working proficiency); French is a plus

Nestlé is committed to the accessibility of its recruitment process. If you require adaptation during the recruitment process, please do let us know so we can support you effectively. All information will be treated confidentially.

At Nestlé, we want to help shape a better and healthier world, inspire people to live healthier lives and deliver impact at a scale and pace that makes a difference. We do this by fostering a diverse, friendly, supportive, and collaborative environment, that creates positive disruption, embraces innovation, and empowers people and teams to win. We aim to hire friendly, respectful, inspiring people who care about the people’s lives that we touch every single day.

Be a force for good. Join Nestlé and visit us on www.nestle.com.