Staff ML Engineer — Real-Time AI for Manufacturing

Xometry; North Bethesda (MD); On-site; USD 200,000 - 220,000; Full time

Benefits offered by this job

401(k) match

Medical, dental, and vision insurance

Generous paid time off

Job summary

Xometry is seeking a Staff Machine Learning Engineer to join their AI/ML team in North Bethesda, Maryland. This is a senior individual contributor role where you will design and deliver complex ML systems, ensuring high-quality performance and integration. You will collaborate with engineers and product managers to produce impactful ML capabilities.

The role involves owning the architecture for significant initiatives and enhancing real-time ML systems. Candidates should have a strong background in ML/AI, Python, and cloud environments (preferably AWS).

Qualifications

• 6-8 years of experience in machine learning engineering with a track record of complex ML systems.
• Deep expertise in ML and AI technologies focusing on backend scalability.
• Hands-on experience deploying real-time ML products at scale.

Responsibilities

• Own the end-to-end lifecycle from requirements gathering through release.
• Architect and build the high-performance AI/ML layer for integration.
• Develop cloud-based production systems powering real-time endpoints.

Skills

Machine Learning Engineering

Python

Deep Learning

Generative AI

MLOps

Education

Bachelor's degree in a STEM field or equivalent experience

Tools

AWS

TensorFlow

PyTorch

GitHub Actions

Terraform

Kubernetes

Job description

Xometry is seeking a Staff Machine Learning Engineer to join their AI/ML team in North Bethesda, Maryland. This is a senior individual contributor role where you will design and deliver complex ML systems, ensuring high-quality performance and integration. You will collaborate with engineers and product managers to produce impactful ML capabilities.

The role involves owning the architecture for significant initiatives and enhancing real-time ML systems. Candidates should have a strong background in ML/AI, Python, and cloud environments (preferably AWS).