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

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).

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

Senior Machine Learning Engineer

Key skills