Staff ML Engineer: Generative AI Leader for Multimodal Data

Xometry Inc.

North Bethesda (MD)

On-site

USD 140,000 - 230,000

Full time

14 days+

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Benefits offered by this job

401(k) match
Medical, dental and vision insurance
Generous paid time off

Job summary

Xometry Inc. is seeking a Staff Machine Learning Engineer to lead Generative AI efforts and shape the future of manufacturing with AI. The role involves developing large-scale models and collaborating with cross-functional teams to bring innovative solutions to market.

The ideal candidate will have 5+ years of experience in machine learning and data science, particularly with generative models and multimodal data processing. A competitive salary of $140,000 to $230,000 annually is offered, along with a comprehensive benefits package.

Qualifications

  • 5+ years of experience in machine learning or data science.
  • Expertise in generative models, LLMs, or computer vision.
  • Hands-on experience with multimodal data (text, images, 3D).
  • Experience deploying ML and AI models in AWS.

Responsibilities

  • Set technical direction and inspire innovation in Generative AI.
  • Identify opportunities to apply generative AI across Xometry's marketplace.
  • Develop and deploy large language and generative models.
  • Create data pipelines for large, complex datasets.

Skills

Machine Learning
Data Science
Generative Models
Large-Scale Models
Python
AWS

Education

Bachelor’s degree in Computer Science or related field
Advanced degree (M.S. or PhD)

Tools

PyTorch
TensorFlow
pandas
NumPy

Job description

Xometry Inc. is seeking a Staff Machine Learning Engineer to lead Generative AI efforts and shape the future of manufacturing with AI. The role involves developing large-scale models and collaborating with cross-functional teams to bring innovative solutions to market.

The ideal candidate will have 5+ years of experience in machine learning and data science, particularly with generative models and multimodal data processing. A competitive salary of $140,000 to $230,000 annually is offered, along with a comprehensive benefits package.

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