Xometry
Manufacturing
StaffMachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Machine Learning Engineer at Xometry. Skills: Machine Learning, MLOps, System architecture, Data pipelines. Lead end-to-end lifecycle. Ensure high-quality delivery”
What You'll Achieve.
Deliver complex ML systems; Bring ML capabilities into production; Build data pipelines; Build contracts; Build observability; Move quotes; Move parts; Move manufacturability signals; Move pricing; Deliver DFM feedback; Deliver pricing feedback; Meet business objectives; Meet technical objectives; Accomplish technical objectives
Industry & Context.
Solve ambiguous problems; Navigate complex challenges
What They're Looking For.
Must Have
Bachelor's degree in STEM or equivalent experience, 6-8 years ML engineering experience, Deploy real-time ML products at scale, Proficiency in Python, Advanced ML/AI frameworks proficiency, Solid software engineering fundamentals, Experience with MLOps practices, Proficiency with CI/CD pipelines, Experience profiling ML deployments, Operate independently on assignments, Communicate effectively across audiences
Nice to Have
AWS cloud environment experience, Terraform proficiency, Kubernetes knowledge, Background in manufacturing, Background in supply chain, Background in marketplace environments
What You'll Do.
Lead end-to-end lifecycle
Ensure high-quality delivery
Own partner integration AI/ML plane
Architect AI/ML layer
Design real-time ML serving
Define data contracts
Implement observability
Build cloud-based production systems
Develop real-time endpoints
Solve ambiguous problems
Evaluate variable factors
Surface opportunity areas
Take ownership of processes
Develop multi-quarter roadmaps
Collaborate with engineers
Collaborate with product managers
Collaborate with data scientists
Collaborate with business stakeholders
Translate requirements
Guide other engineers
Conduct design reviews
Provide technical mentorship
Keep pace with advances
Bring new approaches into practice
How You'll Work.
Team & Collaboration
Cross-functional initiatives; Partner integration; Engineering teams; Product teams; Data science teams; Business stakeholders
Communication Scope
Communicate effectively
Process & Methodology
Roadmap development
Full Job Description
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact. You will lead the design and delivery of complex ML systems, architect integrations across our tech stack, and set the engineering standard for how we build and deploy machine learning solutions at scale. You will work closely with data scientists, engineers, and product managers to bring high-impact ML capabilities into production. Everything you build will matter. A defining piece of this role is owning the AI/ML architecture behind one of Xometry's highest-leverage strategic initiatives: the DFM AI + IQE integration. You will be the data engineering lead for the digital thread that connects Xometry's platform to our partner’s ecosystem — Solid Edge, NX, Designcenter, and Teamcenter — building the pipelines, contracts, and observability that move quotes, parts, manufacturability signals, and pricing between the two systems in real time. The system you design is what takes the innovative digital thread operating at "science fiction speed" from ideation to reality. Responsibilities Lead with technical depth – Own the end-to-end lifecycle from requirements gathering through release, ensuring high-quality, on-time delivery across complex, cross-functional initiatives. Own the Partner integration AI/ML plane – Architect and build the high-performance AI/ML layer of Xometry's embedded DFM AI + IQE integration with Teamcenter and Designcenter. You will be responsible for designing the real-time ML serving architect
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