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
- Experience with marketplace or pricing models (e.g. demand modelling, price elasticity, cost estimation)
- Background in operations research, econometrics, or supply chain optimisationExperience working with 3D or geometric data (e.g. CAD, point clouds, mesh processing)
- Experience designing and scaling ML infrastructure for production systems
- Strong communication skills with the ability to explain complex models to non-technical stakeholders
- Experience with ML monitoring, alerting, and retraining workflows
Why Protolabs?
- Part of our incredible journey is clearly down to our amazing team, and we strongly believe in giving people a space to truly, authentically be themselves. We also believe that treating our employees well and sprinkling a great place to work with some nice perks can make work a little sweeter.
- Annual company bonus. We celebrate success together! Employees are not only rewarded for their achievements but also for contributing to the overall success of the business.
- Wellness and well-being with access to OpenUp psychologists, practice mindfulness with Headspace and tons more.
- Doggo-friendly office. We are big pet lovers and fully encourage hanging out with your (and your colleagues’) furry friends in the office
- Daily Lunch and snacks are provided in the office; it's a moment for our teams to connect and recharge. Shared meals strengthen our bonds and fuel collaboration.
- We offer learning and development days to be used for training or on volunteering, money to spend on learning courses, events, trainings, Access to our in-house LEARN platform with diverse courses, training, and workshops, In-house 3D Printing and much more!
- Follow us on Instagram to see what Life at Protolabs is all about!
Skills Required
- 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.
- Experience with marketplace or pricing models (demand modelling, price elasticity, cost estimation).
- Background in operations research, econometrics, or supply chain optimisation.
- Experience working with 3D or geometric data (CAD, point clouds, mesh processing).
- Experience designing and scaling ML infrastructure for production systems.
- Strong communication skills to explain complex models to non-technical stakeholders.
- Experience with ML monitoring, alerting, and retraining workflows.
Protolabs Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Protolabs and has not been reviewed or approved by Protolabs.
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Healthcare Strength — Medical, dental, and vision options are broadly available and described as good to excellent. Additional protections like short- and long-term disability and life insurance bolster the overall package.
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Leave & Time Off Breadth — A starting PTO allotment plus paid holidays, along with added wellness and volunteer time, is emphasized, with some roles noting PTO growth over tenure. Paid caregiver leave appears in postings and supports flexibility for life events.
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Retirement Support — A 401(k) with company match and immediate vesting is offered, supporting long-term savings. This foundation is frequently cited alongside core financial benefits as a strong element of total rewards.
Protolabs Insights
What We Do
Protolabs is the world's fastest digital manufacturing source for rapid prototyping and on-demand production. The technology-enabled company produces custom parts and assemblies in as fast as 1 day with automated 3D printing, CNC machining, sheet metal fabrication, and injection molding processes. Our digital approach to manufacturing enables accelerated time to market, reduces development and production costs, and minimizes risk throughout the product life cycle. 3D Printing Our 3D printing service offers a wide selection of materials and technologies to create prototypes and end-use parts with complex geometries and detailed features. With tight process controls, careful design reviews, and extensive quality monitoring, we ensure precise and repeatable 3D-printed parts, every time. CNC Machining We use 3- and 5-axis milling along with turning to machine parts from commercial-grade plastics and metals. Our online quoting system and automated manufacturing process enable us to ship parts within 24 hours, helping customers accelerate development and reduce time to market. Sheet Metal Fabrication Protolabs is an industry leader in quick-turn sheet metal parts for both prototyping and low-volume production. Our digital approach to manufacturing enables us to fabricate sheet metal parts in as fast as 5 days. Additionally, we can support our customers’ development efforts with component assemblies, several finish options, and screen printing. Injection Molding Our injection molding service offers two options—prototyping and on-demand manufacturing—which provide customers a tooling solution that aligns with their project’s requirements. It’s used for quick-turn prototyping, bridge tooling, and low-volume production of up to 10,000+ parts in 15 days or less.
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