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: Permanent contract

Start date: As soon as possible

What we offer at Nestlé

Exciting opportunities to develop your career your way; across different brands, businesses, projects, functions, and regions. 

Flexible working arrangements - facilitating creativity and collaboration. 

A culture of respect, with diversity, equity and inclusion at its core. Learn more here. 

A dynamic international environment empowering you to learn, develop and grow. 

Don’t hesitate to connect with us during the recruitment process to learn more.

Position Summary 

As a Senior / Principal Applied Machine Learning Scientist, you will play a pivotal role in shaping the future of AI at Nestlé. You will join a high-performing team of scientists and engineers to design and implement advanced AI/ML solutions addressing complex challenges. Working closely with cross-functional teams & partnering with external AI companies, you will integrate  research and solutions into high-impact global platforms, mentor peers, and communicate insights to diverse audiences. A key part of your mission will be bridging the gap between cutting-edge AI/ML capabilities and Nestlé’s business needs. As a key member of the Deep Tech Center, you will explore the frontiers of enabling technology and have a direct role in shaping adoption and impact with planetary-scale reach.

A Day in the Life of a Senior / Principal Applied Machine Learning Scientist

• Design and implement original AI/ML solutions tailored to Nestlé’s research, engineering, manufacturing, and quality challenges.
• Lead rapid prototyping, develop scalable models, and ensure production readiness while adhering to best practices and ethical AI standards.
• Establish clear requirements for AI applications by collaborating with internal stakeholders to uncover opportunities for innovation and optimization.
• Coordinate internal and external AI service providers to ensure technical alignment and iterative optimization.
• Integrate customized models into existing systems, ensuring seamless data flow and system stability.
• Develop and execute testing strategies to validate model performance and reliability in real-world scenarios.
• Analyze test results, gather user feedback, and optimize models for improved accuracy and efficiency.
• Document AI model designs, integration processes, and usage guidelines; lead knowledge-sharing sessions with internal teams.
• Stay ahead of AI trends and propose innovative applications to continuously improve business processes.

What will make you successful

• Master's or Doctoral degree in Computer Science, Statistics, or a related quantitative field.
• Extensive experience developing and deploying ML solutions in real-world business environments, with a strong focus on deep learning applications. Reinforcement learning or computer vision expertise a strong plus.
• Strong proficiency with Python ML tools (e.g. PyTorch/TensorFlow/Jax, pandas/polars, scikit-learn, git, etc.).
• Familiarity with MLOps and data engineering practices, including model deployment, monitoring, and building ETL pipelines with tools like Spark or Snowflake is a plus.
• Experience working with large-scale datasets and distributed/parallel accelerated computation.
• Experience with rapid prototyping, fast experimentation, and iterative development in an R&D setting a strong plus.
• Enjoy working in dynamic and entrepreneurial environments; comfortable with ambiguous problem settings and narrow or specialized application domains.
• Demonstrated ability to provide technical leadership and mentorship in team or individual settings.
• Excellent communication skills and a collaborative mindset to work effectively across internal teams and external technology partners; ability to explain complex technical concepts to non-technical stakeholders
• Fluency in English is required.

Nestlé is committed to the accessibility of its recruitment process. If you require an 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.

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