Staff ML Engineer — Real-Time AI/ML Architect

Xometry; Lexington (KY); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

401(k) match

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

Paid time off

Maternity & bonding leave

Job summary

Xometry, a leader in on-demand manufacturing, is seeking a Staff Machine Learning Engineer in Lexington, KY. You will own end-to-end ML initiatives, architect high-performance AI/ML layers, and drive real-time pipelines that connect our platform to partner ecosystems.

You will collaborate with data scientists, engineers, and product managers to deliver high-impact ML capabilities at scale. You will lead with technical depth, advance MLOps practices, and contribute to a culture of quality and

Qualifications

• Bachelor's degree in STEM and 6–8 years of ML engineering in production.
• Experience deploying real-time ML products at scale in cloud environments (AWS preferred).
• Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
• Experience with MLOps: monitoring, drift detection, retraining and redeployment pipelines.
• Proficiency with CI/CD pipelines and IaC (Terraform).

Responsibilities

• Lead end-to-end lifecycle from requirements to release for complex ML initiatives.
• Architect and build real-time AI/ML integration layers with partner systems.
• Develop cloud-based production systems powering real-time endpoints and MLOps.
• Collaborate with data scientists, engineers, and product managers to deliver scalable ML solutions.
• Mentor engineers and drive best practices in testing, security, and observability.

Skills

ML engineering

Python

TensorFlow/PyTorch

MLOps

CI/CD

Kubernetes

AWS

Data engineering

Education

Bachelor's degree in STEM

Tools

Kubernetes

Terraform

GitHub Actions

AWS

Job description

Xometry, a leader in on-demand manufacturing, is seeking a Staff Machine Learning Engineer in Lexington, KY. You will own end-to-end ML initiatives, architect high-performance AI/ML layers, and drive real-time pipelines that connect our platform to partner ecosystems.

You will collaborate with data scientists, engineers, and product managers to deliver high-impact ML capabilities at scale. You will lead with technical depth, advance MLOps practices, and contribute to a culture of quality and