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Xometry

Staff Machine Learning Engineer - Generative AI

Xometry
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about 2 months ago
Waltham, MA, USAStaff+

Base Salary

$140k - $230k/yr

Responsibilities

  • Set the technical direction for the Generative AI team and establish best practices.
  • Shape the AI roadmap by identifying valuable opportunities for generative AI applications.
  • Develop and deploy large language and generative models for document processing.
  • Explore innovative ways to combine text, images, and 3D data.
  • Create data pipelines and training workflows for complex datasets.
  • Utilize AWS and other platforms for model training and deployment.
  • Collaborate with engineers and product leaders to implement AI solutions.
  • Mentor teammates on advanced ML methods and best practices.
  • Stay updated with the latest research in generative AI and deep learning.

Requirements

  • Bachelor’s degree required; advanced degree in Computer Science, Machine Learning, or related field is a plus.
  • 5+ years of experience in machine learning or data science with expertise in generative models.
  • Strong track record with large-scale language and vision models.
  • Hands-on experience with multimodal data including text, images, and 3D.
  • Proficiency in Python and key ML libraries like PyTorch and TensorFlow.
  • Solid grounding in probability, statistics, and optimization for generative modeling.
  • Experience deploying ML models using cloud microservice architecture, preferably AWS.
  • Strong software engineering skills including object-oriented programming and CI/CD best practices.
  • Ability to communicate effectively with all organizational levels.
  • Background in manufacturing or supply chain is a plus; curiosity and drive are essential.
  • Must be a U.S. Citizen or Green Card holder.

Benefits

  • Competitive salary range of $140,000-$230,000 annually plus annual bonus.
  • 401(k) match and comprehensive medical, dental, and vision insurance.
  • Life and disability insurance, and generous paid time off including vacation and sick leave.
  • Maternity and bonding leave, EAP, and other wellbeing resources.

Tech Stack

AWSNumPyPandasPythonPyTorchTensorFlowTerraform

Categories

AI & MLData Science