Staff ML Engineer — Real-Time AI at Scale (Hybrid)

Xometry Inc.; North Bethesda (MD); Hybrid; USD 200,000 - 220,000; Full time

Benefits offered by this job

401(k) match

Medical insurance

Dental insurance

Vision insurance

Life and disability insurance

Paid time off

Maternity and bonding leave

Job summary

Xometry Inc. is seeking a Staff Machine Learning Engineer to join our AI/ML team. This senior role involves leading the design and delivery of complex ML systems and ensuring high-quality integrations across our tech stack.

The ideal candidate will have a Bachelor's degree in a STEM field and 6-8 years of machine learning engineering experience, with deep expertise in ML technologies and hands-on experience deploying products at scale.

The position offers an estimated salary of $200,000-$220,000 annually along with a hybrid work arrangement and a comprehensive benefits package.

Qualifications

• 6-8 years of experience in machine learning engineering.
• Hands-on experience deploying real-time ML products at scale.
• Demonstrated experience with MLOps practices.

Responsibilities

• Lead the end-to-end lifecycle from requirements to release.
• Architect and build high-performance AI/ML layers.
• Develop cloud-based production systems.

Skills

ML and AI technologies

Python

Cloud environments (AWS preferred)

MLOps practices

CI/CD pipelines

Containers and Kubernetes

Education

Bachelor's degree in a STEM field

Tools

TensorFlow

PyTorch

GitHub Actions

Terraform

Job description

Xometry Inc. is seeking a Staff Machine Learning Engineer to join our AI/ML team. This senior role involves leading the design and delivery of complex ML systems and ensuring high-quality integrations across our tech stack.

The ideal candidate will have a Bachelor's degree in a STEM field and 6-8 years of machine learning engineering experience, with deep expertise in ML technologies and hands-on experience deploying products at scale.

The position offers an estimated salary of $200,000-$220,000 annually along with a hybrid work arrangement and a comprehensive benefits package.