Senior Software Engineer, ML Platform Engineering

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

We are looking for a senior backend software engineer to join our core machine learning platform engineering team, responsible for the development and expansion of core infrastructure supporting Xometry’s AI/ML products. You will partner closely with data scientists and machine learning engineers to design and deliver state of the art AI/ML infrastructure. You will be given the opportunity to continually challenge yourself, expand your skillset, own your work, and play a crucial role in the Xometry platform. This is a 1-year contract.

Responsibilities:

• Technical Contributions: Design, develop, test, and release software and infrastructure supporting AI/ML and experimentation workflows.
• Code Review & Documentation: Grow our knowledgebase by participating in code reviews, writing, and reviewing documentation.
• Collaboration: Work closely with other engineers and product managers to become a valued member of an autonomous, cross-functional team.
• Ownership: Be responsible for the services that are owned by our team, including deploying services into AWS and Kubernetes environments and taking part in an on-call rotation.
• Professional Development: Stay up-to-date on the latest technologies and pro-actively identify opportunities for growth.

Qualifications:

• Required: 5+ years of experience in a fast-paced technical, problem-solving environment as a software or machine learning engineer.
• Required: Attention to detail, good work ethic, ability to work on multiple projects simultaneously, and strong communication skills.
• Required: Demonstrable understanding of software engineering fundamentals related to security, scalability, asynchronous programming and transactions.
• Required: Knowledge and demonstrated experience developing in Python and Terraform for AWS.
• Required: Knowledge and demonstrated experience deploying infrastructure as code (IaC).
• Required: Experience with software engineering principles.
• Desired: Experience with build and testing ci/cd pipelines using Github Actions.
• Desired: Knowledge of the machine learning lifecycle, including best practices in MLOps.
• Desired: Experience deploying data science or machine learning solutions.
• Desired: Demonstrated knowledge of principles of service-oriented architectures and ability to lead efforts in defining and implementing a service strategy.
• Desired: Experience with relational and/or NoSQL databases with understanding of Normalization/Denormalization, Constraints, Transactions, Replication, and Sharding.
• Desired: Experience communicating technical concepts to non-technical stakeholders.