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 Physics Informed Machine Learning Intern, you will support the Nestlé Deep Tech Center in the development of physics‑informed and hybrid machine learning models that combine data‑driven AI with physical laws and mechanistic modeling. This role offers a unique opportunity to work at the interface of machine learning, numerical modeling, and applied physics, with a focus on physics‑informed neural networks (PINNs) and related scientific ML approaches to support industrial process modeling for 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 Physics Informed Machine Learning Intern

• Designing and implementing physics‑informed neural network (PINN) architectures and related hybrid modeling approaches for ongoing projects
• Integrating physical constraints, governing equations, or mechanistic priors into machine learning architecture and industrial processes models
• Benchmarking scientific ML models against classical numerical or data‑driven baselines
• Analyzing results, identifying limitations, and iterating model design and training strategies
• Contributing to the integration of physics‑aware AI models into applied industrial and research use cases

What will make you successful

• Currently enrolled in or recently graduated from a master’s degree in Applied Mathematics, Applied Physics, Computer Science, or a related field
• Foundations in machine learning and numerical methods
• Familiarity with scientific machine learning concepts (e.g. PINNs, surrogate modeling, hybrid physics‑ML approaches)
• Previous experience with Python and modern ML frameworks (e.g. PyTorch / TensorFlow) in an academical or professional environment
• Ability to reason about physical systems, differential equations, or mechanistic models and translate them into ML formulations
• Curiosity and motivation to follow advances in AI‑for‑science and scientific machine learning
• 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.