Principal ML Engineer, ML Platform Engineering

Job Description

Xometry is seeking a Principal Machine Learning Engineer to join their core machine learning platform engineering team. The candidate will work closely with the AI/MLE leadership team to deliver the vision and technical implementation for the foundational infrastructure leveraged by Xometry’s AI/ML solutions. This role involves hands-on work to deliver a core aspect of the Xometry ecosystem.

Responsibilities:

• Provide hands-on technical leadership through coding, troubleshooting, documentation, and technical diagrams.
• Mentor engineers across the organization, guiding their skill development.
• Conduct code reviews and mentor on best practices in ML Engineering.
• Ensure the delivery of superior infrastructure and software that exceeds customer expectations and aligns with strategic business timelines.
• Forge strong partnerships with product managers, data scientists, and company leadership.
• Champion the adoption of cutting-edge technologies and methodologies.

Requirements:

• At least 7 years of experience in machine learning engineering, software engineering, or data science.
• A bachelor’s degree is required; an advanced degree is 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, Infrastructure as Code (IaC), REST API design, and containerization technologies.
• Demonstrated ability to communicate effectively at all levels of the organization.
• Must be a US Citizen or Green Card holder (ITAR)

The role offers:

• Opportunity to challenge yourself.
• Drive innovation.
• Have ownership of your work.
• Play a crucial role in the Xometry platform.