Senior Machine Learning Engineer

Be yourself at Protolabs Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace. So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply! You can help make our company even better. We do not discriminate based on race, color, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself. We strongly believe diversity makes for more successful teams. Why Protolabs? We are the leaders in digital manufacturing. We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit. Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds. We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do. It’s our people who fuel our creativity and make our culture feel like home.Join our team as a Senior Machine Learning Engineer in Amsterdam!

The Senior Machine Learning Engineer plays a key role in advancing Protolabs’ intelligent pricing platform by building, maintaining, and improving machine learning models that power real‑time quoting for custom-manufactured parts. Working within a complex two-sided marketplace, this role focuses on modelling demand and supply dynamics to enhance pricing accuracy and automation, enabling scalable, data-driven decisions even before manufacturing cost inputs are available. The position partners closely with engineering, data, and product teams to deliver innovative solutions that improve pricing performance and support overall business growth.

What you'll do:

• Develop, improve, and maintain machine learning models that capture demand and supply dynamics in a digital manufacturing marketplace
• Build and refine pricing-related models, including cost estimation from CAD geometry, demand forecasting, and partner routing probability models
• Apply a range of ML techniques such as tree-based methods, probabilistic models, and deep learning to solve both new and existing challenges
• Design, build, and maintain reliable training and inference pipelines on AWS.Run offline experiments, including A/B testing and backtesting, to validate model improvements before deployment
• Collaborate closely with ML engineers, data scientists, and domain experts in a cross-functional team.Translate complex marketplace inputs like part geometry, order history, and partner capacity into meaningful features for models
• Monitor model performance in production and proactively identify and address drift or degradation
• Stay up to date with advancements in machine learning, especially in pricing, marketplace modelling, and manufacturing intelligence
• Mentor and support mid-level and junior engineers within the team

What it takes:

• Proven experience building and deploying machine learning models in production environments
• Strong coding skills in Python (or similar), with experience using ML frameworks such as PyTorch, TensorFlow, or scikit-learn
• Solid understanding of supervised and probabilistic modelling, including regression, classification, and uncertainty estimation
• Experience with feature engineering from structured and/or geometric data
• Hands-on experience with ML pipelines, model versioning, experiment tracking, and MLOps tools (e.g. Weights & Biases, Prefect, Karpenter)
• Comfortable working with real-world, messy data and solving ambiguous problems

Nice to have

• Experience with marketplace or pricing models (e.g. demand modelling, price elasticity, cost estimation)
• Background in operations research, econometrics, or