Xometry

Xometry

Xometry is a top AI-enabled marketplace for on-demand manufacturing, providing CNC machining, 3D printing, and more. Fast lead times and high-quality custom parts for engineers and designers worldwide.

Industrial Conglomerates
251-1K
Founded 2013

Description

  • Develop, fine-tune, and evaluate visual language models for document understanding across text, images, and technical drawings.
  • Design and implement data preparation, cleaning, and augmentation pipelines for multimodal model training.
  • Use transfer learning and pre-trained models to accelerate development and improve performance on Xometry’s data.
  • Scale model training and fine-tuning using cloud resources such as AWS.
  • Collaborate with data engineering and MLOps teams to deploy models into production and monitor performance.
  • Analyze model outputs and improve accuracy and robustness using Python, Jupyter Notebooks, SQL, and related tools.
  • Experiment with state-of-the-art model architectures and continuously optimize VLM performance.
  • Participate in peer reviews, share insights, and contribute to a team-oriented culture of continuous learning.

Requirements

  • Bachelor’s degree required; M.S. or PhD in computer science, data science, machine learning, or a related field strongly preferred.
  • 5+ years of experience in data science and machine learning.
  • Experience with visual language models or multimodal machine learning.
  • Strong experience with PyTorch, TensorFlow, or Hugging Face.
  • Proficiency in Python, including pandas, numpy, and scikit-learn.
  • Solid understanding of deep learning, transfer learning, fine-tuning, and model evaluation.
  • Experience with cloud platforms such as AWS SageMaker for model training and deployment.
  • Familiarity with SQL, Jupyter Notebooks, Looker, and basic databases such as Snowflake or MongoDB.
  • Experience with computer vision tasks and frameworks is a plus.
  • Strong analytical and problem-solving skills with the ability to work in a collaborative, innovative environment.

Interested in this position?

Apply directly on the company website

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