• Own the technical direction for pricing ML: Define what to build and how within the pricing engine, setting the strategy and roadmap for pricing machine learning as a core piece of tem's IP. • Build ML systems for price optimisation: Design and implement models that dynamically set prices, balancing the trade-off between signing probability, portfolio balance and margin maximisation. • Solve imbalance problems: Develop probabilistic models to optimise risk management and short-term balancing decisions in a highly dynamic environment. • Bridge modelling and production: Own the modelling and data layer while working closely with software engineers and MLOps to ensure models are architected for production, contributing to system design decisions that affect performance and reliability. • Communicate pricing decisions clearly: Articulate model behaviour, assumptions, and trade-offs to other technical stakeholders so that pricing decisions are understood across the teams that depend on them.

• contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations • promote and role-model best practices of ML systems development • lead collaborations and align across PZN for A/B testing mid-term signals

• At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform • Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers. • You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry’s platform • Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry’s platform • Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations • Monitor machine learning models and AI performance and troubleshoot issues as they arise • Contribute to the documentation and knowledge base to help other teams understand and use Xometry’s AI effectively

• Building the core Masterful product. • Building state of the art machine learning models for generative data. • Developing backend infrastructure to support the cloud deployment of these models. • Conducting front-end web development to monitor and analyze the performance of these models. • Creating customer-facing APIs and documentation to train their models. • Responsible for the full lifecycle of the product, including design, development, deployment, testing, maintenance, and documentation.