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Senior​/Principal Applied Machine Learning Scientist

Job in 1350, Orbe, Canton de Vaud, Switzerland
Listing for: Nestlé
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 CHF Yearly CHF 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Senior / Principal Applied Machine Learning Scientist
Location: Orbe

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 eraging 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  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/Tensor Flow/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…
Position Requirements
10+ Years work experience
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