Senior Machine Learning Engineer
Company: Xometry
Location: Lexington
Posted on: February 14, 2026
|
|
|
Job Description:
Job Description 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 seeking a Senior Machine
Learning Engineer to join our growing organization. The right
person will help move our machine learning capabilities to the next
level. You'll be working in an organization where AI is the enabler
and center of its core business strategy. You want to be part of a
small, intensely skilled team, who feel total ownership of their
work, and can't imagine a day without learning & coding. You will
play a crucial role in the Xometry platform and everything you do
will matter. Responsibilities: At Xometry, you will play a crucial
role in exploring new machine learning opportunities, researching
and performing proof of concepts, and bringing new machine learning
and AI solutions into Xometry's platform Develop and implement
machine learning models that improve Xometry's ability to predict
cost, price, and sourcing options for our customers and suppliers.
You will be responsible for leading the evaluation of emerging
technologies, identifying areas for improvement, and developing new
features while ensuring the reliability and scalability of
Xometry's platform Lead the exploration of emerging AI and machine
learning technologies and develop proof-of-concepts to assess their
potential impact on Xometry's platform Collaborate with
cross-functional teams to gather requirements, prioritize features,
and define technical solutions based on the latest innovations
Monitor machine learning models and AI performance and troubleshoot
issues as they arise Contribute to the documentation and knowledge
base to help other teams understand and use Xometry's AI
effectively Qualifications: Experience with state of the art ML
modeling techniques and approaches like transformers, self
supervised pre-training, generative modeling, LLMs, etc Experience
with large scale data processing (e.g., Hands-on experience
training and applying models at scale using deep learning
frameworks like PyTorch or Tensorflow) Successful candidates in
this role need to be able to bridge state of the art approaches to
real world impact A cloud-native software craftsperson with hands
on experience with containers, container orchestration, and
distributed systems An engineer with a self-driven attitude who can
own problems and deliver solutions Strong software fundamentals
with experience in design patterns, refactoring, OOP, and testing A
cloud practitioner who values the "shift-left" mentality by
building systems with Infrastructure as Code, not console clicking
Data's at the heart of our systems, we hope it's yours too. You're
comfortable working with SQL and/or NoSQL, understand database
design, and data analysis Experience building and consuming CI/CD
pipelines Someone who knows their way around the command line and
has experience working with *nix systems 5 years working experience
in the engineering teams that build large-scale ML-driven
user-facing products 3 years experience leading cross-team
engineering efforts Strong execution skills in project management
Must be a US Citizen or Green Card holder (ITAR) LI-Hybrid Xometry
is an equal opportunity employer. All applicants will be considered
for employment without attention to race, color, religion, sex,
sexual orientation, gender identity, national origin, veteran, or
disability status. For US based roles: Xometry participates in
E-Verify and after a job offer is accepted, will provide the
federal government with your Form I-9 information to confirm that
you are authorized to work in the U.S.
Keywords: Xometry, Lexington , Senior Machine Learning Engineer, IT / Software / Systems , Lexington, Kentucky