
On-demand manufacturing powered by AI technology
Xometry is a leading AI-enabled marketplace for on-demand manufacturing, headquartered in Rockville, Maryland. The company connects over 30,000 customers, including Fortune 100 firms like BMW and NASA, with a network of more than 4,000 suppliers. Xometry has raised over $200 million in funding and w...
Employees enjoy competitive salaries, stock options, flexible remote work policies, generous PTO, and a comprehensive health benefits package....
Xometry fosters a technology-driven culture that emphasizes innovation and efficiency in manufacturing, encouraging employees to leverage AI and data ...

Xometry • Gaithersburg, MD
Xometry is seeking a Staff Machine Learning Engineer to lead their Generative AI efforts. You'll develop and deploy cutting-edge AI models for multimodal document processing and structured data extraction. This role requires expertise in Python, TensorFlow, and AWS.
You have extensive experience in machine learning and AI, with a strong focus on generative models and multimodal data processing. Your background includes developing and deploying large-scale machine learning systems, and you are well-versed in Python and frameworks like TensorFlow and PyTorch. You have a proven track record of leading technical teams and setting strategic directions for AI projects, inspiring innovation and best practices among your peers.
You are skilled in building data pipelines and training workflows that can handle complex datasets, ensuring that your models are not only effective but also scalable. Your understanding of cloud deployment, particularly with AWS, allows you to create robust solutions that meet business needs. You thrive in collaborative environments, working closely with cross-functional teams to drive AI initiatives that have a significant impact on the organization.
Experience with generative AI applications and a strong portfolio of projects showcasing your ability to innovate across different modalities, including text, images, and 3D data. Familiarity with data extraction techniques and document understanding will set you apart as a candidate. You are also encouraged to bring your unique insights into the evolving landscape of AI and machine learning, contributing to the strategic roadmap of the company.
In this role, you will lead the Generative AI team at Xometry, setting the technical direction and driving the strategy for AI initiatives across the marketplace. You will identify valuable opportunities to apply generative AI, shaping the AI roadmap to align with business goals. Your responsibilities will include developing and deploying state-of-the-art models for multimodal document processing and structured data extraction, ensuring that these solutions are effective and scalable.
You will explore innovative ways to combine different data types, unlocking smarter solutions that enhance the user experience and operational efficiency. As a leader, you will inspire your team to push the boundaries of what is possible with AI, fostering a culture of high-impact innovation. You will also create and maintain data pipelines and training workflows that can handle massive datasets, ensuring that your models are trained effectively and efficiently.
Your role will involve collaborating with various stakeholders, including product managers and engineers, to ensure that AI solutions are integrated seamlessly into Xometry's offerings. You will also be responsible for mentoring junior team members, sharing your expertise and guiding them in their professional development. Your work will have a direct impact on the future of manufacturing, as you apply cutting-edge AI research to real-world challenges.
Xometry provides a dynamic work environment where innovation is encouraged and supported. You will have the opportunity to work on groundbreaking projects that shape the future of manufacturing. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to connect people with big ideas to the manufacturers who can bring them to life, and be part of a team that is making a real difference in the industry.
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