Senior Machine Learning Engineer

Summary

Join Xometry, a NASDAQ-listed company, as a Senior Machine Learning Engineer and help advance our machine learning capabilities. You will be a crucial part of a small, highly skilled team, taking ownership of your work and continuously learning. This role involves developing and implementing machine learning models to improve cost, price, and sourcing predictions. You will lead the exploration of new AI/ML technologies, collaborate with cross-functional teams, and ensure the reliability and scalability of our platform. The ideal candidate possesses extensive experience in ML modeling, large-scale data processing, and cloud-native software development. This is a remote position.

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)
• Ability to bridge state of the art approaches to real world impact
• Hands on experience with containers, container orchestration, and distributed systems
• Self-driven attitude to own problems and deliver solutions
• Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing
• Experience building systems with Infrastructure as Code
• Comfort working with SQL and/or NoSQL, understanding database design, and data analysis
• Experience building and consuming CI/CD pipelines
• 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 our customers and suppliers
• Lead 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

Benefits

#LI-Remote