Sr. Machine Learning Engineer

Summary

Xometry, a NASDAQ-listed company specializing in connecting manufacturers with buyers, is seeking a Senior Machine Learning Engineer to join their team. The successful candidate will play a crucial role in improving Xometry's machine learning capabilities, developing and implementing machine learning models, exploring emerging AI technologies, and collaborating with cross-functional teams.

Requirements

• 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)
• Cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems
• 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
• 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

Responsibilities

• Explore new machine learning opportunities, research and perform proof of concepts, and bring 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 customers and suppliers
• Lead the evaluation of emerging technologies, identify areas for improvement, and develop new features while ensuring the reliability and scalability of 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

Benefits

#LI-Remote