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Home›Jobs›Xometry›Staff Machine Learning Engineer - Generative AI
Xometry

About Xometry

On-demand manufacturing powered by AI technology

🏢 Tech👥 251-1K📅 Founded 2013📍 Rockville, Maryland, United States

Key Highlights

  • Public company (NASDAQ: XMTR) since 2021
  • Over 30,000 customers including BMW and NASA
  • Network of 4,000+ suppliers nationwide
  • $200M+ raised from investors like Greenspring Associates

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...

🎁 Benefits

Employees enjoy competitive salaries, stock options, flexible remote work policies, generous PTO, and a comprehensive health benefits package....

🌟 Culture

Xometry fosters a technology-driven culture that emphasizes innovation and efficiency in manufacturing, encouraging employees to leverage AI and data ...

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Xometry

Staff Machine Learning Engineer - Generative AI

Xometry • North Bethesda, MD

Posted 6d ago🏛️ On-SiteStaffMachine learning engineer📍 North bethesda
Apply Now →

Skills & Technologies

PythonTensorFlowPyTorchAWSKubernetesDocker

Overview

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 cloud technologies.

Job Description

Who you are

You have 5+ years of experience in machine learning and AI, with a strong background in developing and deploying models that solve real-world problems. Your expertise in Python is complemented by your proficiency in frameworks like TensorFlow and PyTorch, allowing you to build state-of-the-art AI systems that drive business impact. You are familiar with cloud platforms such as AWS, enabling you to deploy scalable solutions effectively. Your experience with containerization technologies like Docker and orchestration tools like Kubernetes equips you to manage complex data pipelines and workflows efficiently. You thrive in collaborative environments, working closely with cross-functional teams to innovate and implement AI strategies that enhance operational efficiency.

Desirable

Experience with generative AI and multimodal data processing is a plus, as is familiarity with large language models and their applications in industry. You have a passion for exploring new technologies and methodologies in AI, and you are eager to share your knowledge with others on your team. You understand the importance of best practices in AI development and are committed to establishing a culture of innovation and excellence within your team.

What you'll do

As a Staff Machine Learning Engineer at Xometry, you will lead the technical direction for the Generative AI team, setting best practices and inspiring innovation. You will drive the AI roadmap, identifying valuable opportunities to apply generative AI across Xometry’s marketplace. Your role will involve developing and deploying large language and generative models for multimodal document processing and structured data extraction. You will explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions. Additionally, you will create data pipelines and training workflows that can handle massive, complex datasets, ensuring that your models are robust and scalable. You will also be responsible for deploying your solutions in the cloud, leveraging AWS to ensure high availability and performance.

What we offer

At Xometry, you will have the opportunity to shape the future of manufacturing through innovative AI solutions. We offer a collaborative work environment where your contributions will have immediate business and customer impact. You will work alongside a talented team of professionals who are dedicated to pushing the boundaries of what is possible with AI. We provide competitive compensation and benefits, along with opportunities for professional growth and development. Join us in transforming the manufacturing industry with cutting-edge technology and innovative solutions.

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