6 months ago
Base Salary
$150k - $196k/yr
Responsibilities
- Lead multiple large, cross-functional ML/AI solutions with significant and lasting business impact.
- Define and drive an 18- to 24-month ML/AI technical roadmap balancing innovation with reliable business value delivery.
- Influence partner roadmaps, priorities, resourcing, and ML/AI best practices across engineering, product, operations, and business teams.
- Remove technical, operational, data-related, and resource roadblocks for teams and projects.
- Mentor individuals and technical teams and serve as a trusted subject-matter expert for ML/AI infrastructure, data, models, and tooling.
- Identify ML/AI opportunities for revenue growth, cost reduction, quality improvement, and operational efficiency.
- Advance internal best practices, tooling, frameworks, model governance, data pipelines, and operationalization based on industry developments.
- Optimize inference latency, model retraining intervals, feature pipelines, compute costs, and manual-task automation.
Requirements
- Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering, or a related field; a PhD is preferred for deep generative or 3D modeling work.
- 12+ years of professional experience in machine learning, artificial intelligence, or data science, including several years in a senior or principal capacity leading major programs.
- Experience architecting and delivering large-scale ML/AI solutions end to end, from data ingestion and feature engineering through model training, evaluation, deployment, monitoring, and operations.
- Deep expertise in TensorFlow, PyTorch, data engineering, model infrastructure, MLOps, cloud platforms, and scalable production systems.
- Experience with 3D modeling, geometry, computer vision, generative models, point-cloud processing, mesh processing, text-to-3D, image-to-3D, or CAD/CAM integration is highly desirable.
- Strong exposure to generative AI techniques including large language models, multimodal models, diffusion, and GANs.
- Ability to collaborate across product, engineering, operations, manufacturing, design, and business leadership and translate technical concepts into business language.
- Proven ability to influence without direct authority, drive organizational change, communicate technical vision and trade-offs, and deliver measurable business impact.
- Experience mentoring and guiding ML engineers, data scientists, or AI researchers and shaping team practices and career growth.
Benefits
- Competitive benefits package including 401(k) match, medical, dental, and vision insurance.
- Life and disability insurance, paid vacation, sick leave, floating and fixed holidays, maternity and bonding leave, EAP, and other wellbeing resources.
- Hybrid work arrangement, as indicated by the #LI-Hybrid designation.
Tech Stack
Categories
About Xometry
Xometry builds an AI-enabled marketplace that connects engineers and procurement teams with a vetted global network of manufacturers for on-demand CNC machining, 3D printing, sheet metal, and injection molding. The company earns fees by brokering instant-quote RFQs and managing production, logistics, and quality across its supplier base. Founded in 2013, Xometry is a publicly traded company (NASDAQ: XMTR) based in the Washington, DC–Baltimore area and serves buyers from startups to Fortune 1000 firms.