Job Description

Xometry is seeking a Principal Machine Learning Engineer to join their core machine learning platform engineering team to deliver the vision and technical implementation for the foundational infrastructure leveraged by Xometry’s AI/ML solutions, including the Instant Quoting Engine® and other AI/ML products powering the Xometry marketplace.

Responsibilities

• Lead by example by actively coding and troubleshooting, creating documentation and technical diagrams
• Serve as a mentor and guide to engineers across the organization
• Perform code reviews and mentor others regarding best practices in ML Engineering
• Guarantee the delivery of superior infrastructure and software
• Forge strong partnerships with product managers, data scientists, and company leadership
• Champion the adoption of cutting-edge technologies, methodologies, and practices

Requirements

• At least 7 years of experience in machine learning engineering, software engineering, data science, or similar technical role
• Bachelor’s degree required, advanced degree preferred
• Experience designing and deploying cloud infrastructure (AWS preferred)
• Deep understanding of the machine learning lifecycle and related infrastructure needs
• Strong technical expertise in software engineering principles, machine learning techniques and algorithms, Infrastructure as Code (IaC), REST API design and implementation, object oriented and functional programming in Python, multimodal data processing, and AWS microservices
• Experience with containerization technologies (Docker and Kubernetes)
• Demonstrated ability to interact and communicate effectively at all levels of the organization
• Experience in the manufacturing, supply chain, or similar industries is a plus
• Must be a US Citizen or Green Card holder (ITAR)

Benefits

• No benefits