Staff ML Engineer: Real-Time AI Systems Lead

Xometry; Cadentown (KY); On-site; USD 160,000 - 260,000; Full time

Benefits offered by this job

401(k) match

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

Generous paid time off

Job summary

Xometry is seeking a Staff Machine Learning Engineer to design and deliver complex ML systems at scale. You will own the AI/ML architecture for strategic integrations with enterprise tools and partner ecosystems, and lead a data engineering effort across a real-time, high-performance pipeline.

You will collaborate with data scientists, engineers, product managers, and business stakeholders, applying modern ML methods and strong MLOps practices to ensure robust, secure deployments.

Qualifications

• Bachelor's degree in a STEM field plus 6–8 years of ML engineering experience.
• Experience building and deploying complex ML systems in production.
• Experience with MLOps, monitoring, retraining and redeployment pipelines.

Responsibilities

• Lead end-to-end lifecycle from requirements through release for cross-functional initiatives.
• Architect and build real-time AI/ML layer for DFM AI + IQE integrations.
• Develop cloud-based production systems powering real-time endpoints and MLOps.

Skills

ML engineering

Python

TensorFlow

PyTorch

MLOps

CI/CD

AWS

Kubernetes

Distributed systems

Team leadership

Education

Bachelor's degree in STEM

Tools

Kubernetes

Terraform

GitHub Actions

Docker

Job description

Xometry is seeking a Staff Machine Learning Engineer to design and deliver complex ML systems at scale. You will own the AI/ML architecture for strategic integrations with enterprise tools and partner ecosystems, and lead a data engineering effort across a real-time, high-performance pipeline.

You will collaborate with data scientists, engineers, product managers, and business stakeholders, applying modern ML methods and strong MLOps practices to ensure robust, secure deployments.