Staff ML Engineer - Generative AI for Multimodal Data

Xometry; North Bethesda (MD); Hybrid; USD 140,000 - 230,000; Full time

Benefits offered by this job

Vision insurance

401(k) match

Generous paid time off

Medical and dental insurance

Competitive salary

Job summary

A leading technology company in North Bethesda is seeking a Staff Machine Learning Engineer to lead Generative AI efforts. You will shape the future of manufacturing by applying cutting-edge AI research to real-world problems, including multimodal document understanding and extracting data from technical drawings. The role requires a strong background in machine learning and significant experience with generative models. A competitive base salary and benefits package are included, along with a hybrid work model.

Qualifications

• 5+ years of experience in machine learning or data science.
• Deep expertise in generative models, LLMs, or computer vision.
• Hands-on experience with multimodal data (text, images, 3D).
• Experience deploying ML models using cloud microservice architecture.

Responsibilities

• Lead the Generative AI team and set the technical direction.
• Develop and deploy large language and generative models.
• Create data pipelines and training workflows.
• Work closely with product and engineering teams.

Skills

Machine learning expertise

Generative models

Data science experience

Proficiency in Python

Experience with ML libraries

Object-oriented programming

Communication skills

Education

Bachelor's degree in related field

Master's or Ph.D. in Computer Science, ML, AI

Tools

PyTorch

TensorFlow

AWS

Terraform

Job description

A leading technology company in North Bethesda is seeking a Staff Machine Learning Engineer to lead Generative AI efforts. You will shape the future of manufacturing by applying cutting-edge AI research to real-world problems, including multimodal document understanding and extracting data from technical drawings. The role requires a strong background in machine learning and significant experience with generative models. A competitive base salary and benefits package are included, along with a hybrid work model.