Senior Machine Learning Engineer

Xometry is seeking a Staff Machine Learning Engineer to join our expanding team. The ideal candidate will help advance our machine learning capabilities. You'll be part of an organization where AI is the driving force and core of its business strategy. You aspire to be part of a compact, highly skilled team, who take full ownership of their work, and for whom a day without learning & coding is unimaginable. Your role in the Xometry platform will be pivotal and every task you undertake will count.

Your Responsibilities

• At Xometry, you will play a vital role in exploring new machine learning opportunities, conducting research, running proof of concepts, and incorporating new machine learning and AI solutions into Xometry’s platform.
• Design and execute machine learning models that enhance Xometry’s ability to forecast cost, price, and sourcing options for our clients and providers.
• You will be in charge of leading the evaluation of emerging technologies, identifying areas for enhancement, and creating new features while ensuring the reliability and scalability of Xometry’s platform.
• Oversee 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 conceive 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 utilize Xometry’s AI effectively.

What We’re Looking For

• Experience with cutting-edge ML modeling techniques and approaches such as 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)
• A successful candidate in this role needs to be able to bridge cutting edge approaches to real-world impact
• A cloud-native software specialist with hands-on experience with containers, container orchestration, and distributed systems
• An engineer with a self-driven attitude who can take ownership of issues and execute solutions
• Profound 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 is at the core of our systems, and we hope it is for you too. You’re comfortable working with SQL and/or NoSQL, understand database design, and data analysis
• Experience building and using CI/CD pipelines
• Someone who is proficient with the command line and has experience working with *nix systems
• 8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 3+ years experience managing cross-team engineering efforts
• Strong execution skills in project management

#LI-Hybrid