About this role
Professionals who thrive on setting long-term technical direction and solving complex geometric problems will find a strong fit in this senior principal role. Xometry operates a digital marketplace connecting buyers at Fortune 1000 companies with global manufacturing capacity, and the machine learning team builds the foundational systems that power these interactions.
In this position, you will serve as the technical lead for large, cross-functional artificial intelligence initiatives, taking ownership of an 18- to 24-month technical roadmap. Your work will focus heavily on areas like 2D and 3D part understanding, generative AI, and advanced platforms that drive revenue growth and operational efficiency. You will collaborate closely with engineering, product, and manufacturing operations to remove roadblocks, mentor engineers, and influence strategic priorities across the organization.
What you will do
- Serve as the technical leader of multiple large, cross-functional machine learning and artificial intelligence solutions with lasting business impact.
- Define and drive an 18- to 24-month technical roadmap that balances breakthrough innovation with reliable business value delivery.
- Influence partner roadmaps across engineering, product, operations, and business teams while championing best practices.
- Proactively identify and remove technical, operational, and data-related roadblocks for teams and projects.
- Act as a trusted subject-matter expert to shape infrastructure, data, model, and tooling decisions.
- Identify opportunities to use artificial intelligence for revenue growth, cost reduction, and efficiency improvement.
- Stay ahead of industry developments in generative artificial intelligence and 3D modeling to improve internal frameworks and model governance.
What you need
- Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or a related field.
- Twelve or more years of professional experience in machine learning, artificial intelligence, or data science roles.
- Demonstrated experience architecting and delivering large scale artificial intelligence solutions end-to-end from data ingestion to operations.
- Deep expertise in machine learning frameworks such as TensorFlow and PyTorch, data engineering, model infrastructure, MLOps, and cloud platforms.
- Strong exposure to generative artificial intelligence techniques including large language models, multimodal models, diffusion, and GANs.
- Proven ability to influence without direct authority and drive change across organizations.
- Track record of identifying and delivering measurable business impact via machine learning and artificial intelligence.
Nice to have
- Experience in 3D modeling, geometry, computer vision, or generative models such as point-cloud processing and CAD/CAM integration
- PhD preferred for deep generative and 3D modeling emphasis
Benefits
- 401(k) match
- Medical, dental and vision insurance
- Life and disability insurance
- Generous paid time off including vacation, sick leave, floating and fixed holidays
- Maternity and bonding leave
- EAP and other wellbeing resources
Skills and tech stack
Questions candidates ask
What is the location and work model for this role?
The job is based in Denver, CO. The posting mentions a hybrid work model for US-based roles.
What is the compensation for this position?
The estimated base salary range for new hires is $150,000 to $196,000 annually plus bonus, depending on factors such as job-related skills, relevant experience, and location.
What kind of technical scope does the role involve?
You will own and drive an 18- to 24-month technical roadmap focusing on areas involving 2D and 3D part understanding, generative AI, and advanced machine-learning platforms. Responsibilities include defining large-scale vision and 3D pipelines, foundation models, and quoting accuracy systems.
What leadership and cross-functional duties are expected?
You will serve as a technical leader for large, cross-functional initiatives and work closely with engineering, product, design, manufacturing operations, and business leadership. The role also involves mentoring individuals and technical teams while proactively removing roadblocks.