Full-Time
Senior Principal
ML/AI
Xometry
1,001-5,000 employees
On-demand custom manufacturing platform with supplies
Compensation Overview
$150k - $196k/yr
Waltham, MA, USA
Hybrid
 AI & Machine Learning (1) |
|---|
- Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis)
- 12+ years of professional experience in machine learning, artificial intelligence, or data science roles — with several years in senior or principal capacity leading major programs
- Demonstrated experience architecting and delivering large scale ML/AI solutions - end-to-end from data ingestion, feature engineering, model training, evaluation, deployment, monitoring & operations
- Deep expertise in machine learning frameworks (TensorFlow, PyTorch), data engineering, model infrastructure, MLOps, cloud platforms (AWS, GCP, Azure), and scalable production systems
- Experience in 3D modeling / geometry / computer vision / generative models (e.g., point-cloud processing, mesh processing, text23D, image23D, CAD/CAM integration) is highly desirable
- Strong exposure to generative AI techniques (large language models, multimodal models, diffusion, GANs) and translating them into business use-cases
- Excellent cross-functional collaboration skills
- Proven ability to influence without direct authority and drive change across organizations
- Strong communication and presentation skills; you can articulate technical vision, roadmap, trade-offs and outcomes to senior leadership
- Track record of identifying and delivering measurable business impact via ML/AI - e.g., revenue growth, cost savings, improved efficiency
- Experience mentoring and guiding teams of ML engineers / data scientists / AI researchers, shaping team culture, practices, and career growth
- The estimated base salary range for new hires into this role is $150,000- $196,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location
- We also offer a competitive benefits package, including 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, other wellbeing resources; and much more.
- Serve as the technical leader of multiple large, cross-functional ML/AI solutions with significant, lasting impact across Xometry’s business.
- Define, and drive the 18-24-month ML/AI technical roadmap - balancing breakthrough innovation (e.g., generative 3D, foundation models, large-scale vision/3D pipelines) with reliable business value delivery (e.g., quoting accuracy, lead-time reduction, defect detection, cost optimization)
- Influence partner roadmaps across engineering, product, operations, and business teams: align priorities, advise on resourcing, champion ML/AI best practices.
- Proactively identify and remove roadblocks for teams and projects — whether technical, operational, data-related, or resource constraints.
- Mentorship of individuals and technical teams
- Act as a trusted SME with strong cross-functional partnerships: your insights and guidance will shape ML/AI infrastructure, data, model, infrastructure, and tooling decisions.
- Play a leadership role in identifying areas of opportunity — e.g., using ML/AI to unlock new revenue streams (e.g., rapid quoting for new manufacturing modalities, generative design for customers), reduce cost (e.g., automated quality inspection), or optimize efficiency (e.g., 3D-geometry classification, defect detection, generating manufacturing ready models).
- Address problems adjacent to your sphere of immediate influence: proactively tackle challenges outside direct scope and champion holistic solutions.
- Stay ahead of industry developments in ML, AI, generative AI, 2D/3D modeling and manufacturing tech; translate insights into the improvement of internal best practices, tooling, frameworks, model governance, data pipelines, and operationalization.
- Consistently scrutinize existing work, identify opportunities for incremental growth and efficiency optimization - whether in inference latency, model retraining intervals, feature pipelines, cost of compute, or automation of manual tasks.
- 12+ years of professional experience in machine learning, artificial intelligence, or data science roles — with several years in senior or principal capacity leading major programs
- Experience in 3D modeling / geometry / computer vision / generative models (e.g., point-cloud processing, mesh processing, text23D, image23D, CAD/CAM integration) is highly desirable
- Strong exposure to generative AI techniques (large language models, multimodal models, diffusion, GANs) and translating them into business use-cases
- Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis)
- Demonstrated experience architecting and delivering large scale ML/AI solutions - end-to-end from data ingestion, feature engineering, model training, evaluation, deployment, monitoring & operations
- Deep expertise in machine learning frameworks (TensorFlow, PyTorch), data engineering, model infrastructure, MLOps, cloud platforms (AWS, GCP, Azure), and scalable production systems
- Excellent cross-functional collaboration skills: you can partner with product, engineering, ops, manufacturing, design, business leadership and translate technical concepts into business language
- Proven ability to influence without direct authority and drive change across organizations
- Strong communication and presentation skills; you can articulate technical vision, roadmap, trade-offs and outcomes to senior leadership
- Track record of identifying and delivering measurable business impact via ML/AI - e.g., revenue growth, cost savings, improved efficiency
- Experience mentoring and guiding teams of ML engineers / data scientists / AI researchers, shaping team culture, practices, and career growth
- The estimated base salary range for new hires into this role is $150,000- $196,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location
- We also offer a competitive benefits package, including 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, other wellbeing resources; and much more.
Xometry operates an online marketplace that connects customers with a network of manufacturers for on-demand production services. Customers upload design files and receive instant quotes for manufacturing processes such as 3D printing, CNC machining, injection molding, and sheet metal fabrication. The company leverages its broad partner network to offer parts quickly and at competitive prices, with no minimum order requirements. In addition to manufacturing services, Xometry sells industrial supplies—raw materials, tooling, and MRO products—through its Supplies Flex program, which lets customers lock in material pricing and pay in installments. The business earns revenue from transaction fees on manufacturing work and direct sales of supplies. The goal is to provide reliable, fast access to custom parts and materials for small businesses, large companies, and individual entrepreneurs by offering a simple, transparent marketplace and flexible pricing options.
Company Size
1,001-5,000
Company Stage
IPO
Headquarters
North Bethesda, Maryland
Founded
2013
Simplify's Take
What believers are saying
- Q1 2026 revenue grew 36% YoY to record levels via AI marketplace expansions.
- Enterprise revenue from $500K+ accounts surged over 40% in Q4 2025.
- December 2025 added high-performance materials like ULTEM 1010 CG for aerospace.
What critics are saying
- Protolabs erodes share with AI quoting and superior margins in 6-12 months.
- CEO transition to Sanjeev Singh Sahni on July 1, 2026 triggers 27% stock drop.
- 35% ITC tariffs on Chinese CNC imports from June 2026 hike quotes 15-20%.
What makes Xometry unique
- Xometry's AI quoting engine analyzes 3D CAD files for instant DFM feedback and pricing.
- Proprietary deep learning matches buyers to 7,000 manufacturers across CNC and 3D printing.
- CMMC Level 2 certification enables DoD-compliant quoting for defense customers.
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Your Connections
People at Xometry who can refer or advise you
Benefits
Medical, dental, & vision insurance
Life insurance
401(k) with company matching
Equity
Generous PTO
Paid volunteer time
Commuter & parking benefits
Maternity & Paternity leave
Free snacks
Dog-friendly office spaces
Growth & Insights and Company News
6 month growth
↑ 11%1 year growth
↑ 12%2 year growth
↑ 11%G2 Investment Partners acquired 221,679 shares of Xometry valued at $13.2 million, representing 3.1% of its assets under management, according to an SEC filing on 17 February. Xometry reported 30% year-over-year revenue growth in Q4 2022, reaching $192 million, alongside a 17% increase in active suppliers and 20% growth in buyers. However, the company posted a GAAP net loss of $8.6 million. The stake acquisition comes as Xometry's stock has declined 34.8% this year, though it has gained 50.9% over the past year. G2's top holdings include DAVE at $29.4 million and PACK at $18.1 million.
G2 Investment Partners Management has initiated a new position in Xometry, acquiring 221,679 shares valued at $13.2 million, according to a Securities and Exchange Commission filing dated 17 February. The stake represents 3.1% of the fund's assets under management. Xometry operates a digital marketplace for on-demand manufacturing, connecting buyers with manufacturing partners for services including CNC machining, 3D printing and injection moulding. The company reported fourth-quarter revenue of $192 million, up 30% year over year, whilst growing active suppliers and buyers by 17% and 20% respectively. Despite revenue growth, Xometry remains unprofitable under generally accepted accounting principles, reporting a loss of $8.6 million in the fourth quarter. The stock has declined 34.8% this year but gained 50.9% over the past year.
2026 Career Advancement report. Women in Manufacturing recently released the key findings from its 2026 Career Advancement Survey, conducted in collaboration with Xometry and Thomas. The results highlight a clear opportunity to close the industry's "discovery gap." While many women report high levels of satisfaction and confidence in the future of manufacturing, a significant number did not originally plan to enter the field. Increasing early awareness, mentorship, and visible career pathways can help more women intentionally choose manufacturing as a rewarding and long-term career. Additional key findings include: * 91% of women believe manufacturing has a bright future, reflecting strong confidence in the industry's continued growth and opportunity. * 80% of professionals who did not initially plan to enter manufacturing say they would still recommend the industry as a career path. * 73% of respondents cite career growth opportunities as one of the top reasons they value working in manufacturing, followed closely by problem-solving work and long-term job stability. The full report offers valuable insights for employers, educators, and advocates working to attract, retain, and grow female representation in manufacturing. Download the full report and continue the conversation on how WiMVA can strengthen the manufacturing workforce together.
Xometry (XMTR) director granted 3,681 RSUs vesting on jan. 1, 2027. Filing Impact Filing Sentiment Rhea-AI filing summary. Rosati Fabio reported acquisition or exercise transactions in this Form 4 filing. Xometry, Inc. director Fabio Rosati received an equity award in the form of restricted stock units representing 3,681 shares of Class A common stock. The award was granted at a price of $0.00 per share as a compensation grant. All shares underlying these RSUs are scheduled to vest on January 1, 2027, as long as Rosati continues to provide service. Following this award, he holds 40,427 shares directly and 101,667 shares indirectly through The Fabio Rosati 2022 Family Trust. 03/12/2026 - 04:50 PM SEC Form 4 Faq. What insider transaction did Fabio Rosati report for Xometry (XMTR)? Fabio Rosati reported receiving a grant of 3,681 restricted stock units of Xometry Class A common stock at $0.00 per share. The grant is classified as a compensation-related award, not an open-market purchase or sale of existing shares. When do Fabio Rosati's new Xometry RSUs vest and what do they represent? All 3,681 RSUs granted to Fabio Rosati are scheduled to vest on January 1, 2027, if he continues service. Each restricted stock unit represents a contingent right to receive one share of Xometry's Class A common stock upon vesting. How many Xometry shares does Fabio Rosati hold after this Form 4 filing? After the reported grant, Fabio Rosati holds 40,427 Xometry Class A shares directly. He also has indirect ownership of 101,667 additional shares held by The Fabio Rosati 2022 Family Trust, as reflected in the filing's ownership table. Is Fabio Rosati's Xometry Form 4 transaction a buy or a grant? The Form 4 shows a grant of 3,681 restricted stock units, coded as an acquisition from a grant or award. It is not an open-market purchase, but equity compensation that vests over time subject to continued service with the company. What does the Fabio Rosati 2022 Family Trust hold in Xometry shares? The filing reports that 101,667 Xometry Class A shares are held indirectly by The Fabio Rosati 2022 Family Trust. This entry reflects indirect ownership; it is shown as a holding, not a new purchase or sale tied to the reported RSU grant.
Xometry, an AI-native marketplace for custom manufacturing, has released a new Enterprise Machining Lead Time Prediction Model and enhanced dynamic pricing logic for its Instant Quoting Engine. The updates leverage deep learning trained on real-world production data from Xometry's global supplier network. The lead time model achieved significant improvements in prediction accuracy and now optimises for one-day lead times across various materials and geometries. It utilises a training dataset four times larger than previous versions and factors in specialised certifications, new materials and advanced finishing options. The enhanced pricing logic analyses geometric features, quote configurations and customer-specific historical data to construct price-response functions for individual quotes. Following successful testing in Q4 2025, the models are being deployed more broadly to US customers in Q1 2026.