Machine Learning Engineer II

• Design, build, and optimize machine learning models to enhance Xometry’s platform and business operations
• Analyze large datasets to extract meaningful patterns and insights
• Collaborate with cross-functional teams to integrate machine learning models into production systems
• Learn and apply best practices in model evaluation, performance tuning, and deployment
• Influence technical direction by identifying opportunities to improve modeling approaches, data quality, and system architecture
• Work across teams to ensure machine learning solutions are explainable, maintainable, and aligned with business goals
• Help bridge the gap between research and production, ensuring models perform just as well in the real world as they do in notebooks
• Gain exposure to cutting-edge machine learning frameworks, tools, and techniques used in the manufacturing industry

• A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred
• Experience deploying and maintaining machine learning models in production environments
• 4+ years of experience in machine learning, focusing on data engineering and/or data science
• Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
• Strong background in probability, statistics, and optimization techniques relevant to generative modeling
• Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
• Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Experience in the manufacturing, supply chain, or similar industries is a plus