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Staff Machine Learning Engineer - Generative AI

XometryLexington, KY
On-site Full-time

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Experience Level

Senior

Qualifications

Responsibilities:Lead with vision – Define the technical vision for our Generative AI team, establish best practices, and inspire transformative innovation. Drive strategy – Contribute to shaping the AI roadmap, pinpointing high-value opportunities for applying generative AI throughout Xometry’s marketplace. Build cutting-edge models – Design and implement large language and generative models for multimodal document processing and structured data extraction. Innovate across modalities – Discover novel methods to integrate text, images, and 3D data to unlock smarter and more efficient solutions.

About the job

Xometry (NASDAQ: XMTR) is at the forefront of revolutionizing manufacturing by connecting visionary thinkers with the manufacturers equipped to turn their ideas into reality. With our innovative digital marketplace, we empower manufacturers with essential resources for growth while facilitating Fortune 1000 companies in accessing global manufacturing capabilities effortlessly.

We are excited to announce an opening for a Staff Machine Learning Engineer to spearhead our Generative AI initiatives. This unique position offers you the chance to shape the future of the manufacturing industry by leveraging state-of-the-art AI research to tackle real-world challenges, including multimodal document comprehension, structured data extraction from technical drawings, and innovative reasoning across text, images, and 3D data. If you are driven by the desire to create cutting-edge AI systems and witness their immediate impact on business and customer satisfaction, we encourage you to join our team.

About Xometry

Xometry is a leading digital manufacturing marketplace that connects businesses with the manufacturing capabilities they need to innovate and scale. Our platform provides a seamless experience for manufacturers and buyers alike, empowering them to achieve their goals with efficiency and precision.

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