Senior Software Engineer, ML Platform Engineer

Summary

Join Xometry's core machine learning platform engineering team as a Senior Backend Software Engineer! This 1-year contract position involves designing, developing, and releasing software and infrastructure supporting AI/ML and experimentation workflows. You will collaborate closely with data scientists and machine learning engineers, ensuring the delivery of state-of-the-art AI/ML infrastructure. Responsibilities include code review, documentation, and ownership of team services deployed in AWS and Kubernetes environments. Continuous professional development and staying current with the latest technologies are encouraged. This role offers the opportunity to expand your skillset and play a crucial role in the Xometry platform. The position is remote.

Requirements

• 5+ years of experience in a fast-paced technical, problem-solving environment as a software or machine learning engineer
• Attention to detail, good work ethic, ability to work on multiple projects simultaneously, and strong communication skills
• Demonstrable understanding of software engineering fundamentals related to security, scalability, asynchronous programming and transactions
• Knowledge and demonstrated experience developing in Python and Terraform for AWS
• Knowledge and demonstrated experience deploying infrastructure as code (IaC)
• Experience with software engineering principles

Responsibilities

• Design, develop, test, and release software and infrastructure supporting AI/ML and experimentation workflows
• Grow our knowledgebase by participating in code reviews, writing, and reviewing documentation
• Work closely with other engineers and product managers to become a valued member of an autonomous, cross-functional team
• 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
• Stay up-to-date on the latest technologies and pro-actively identify opportunities for growth

Preferred Qualifications

• Experience with build and testing ci/cd pipelines using Github Actions
• Knowledge of the machine learning lifecycle, including best practices in MLOps
• Experience deploying data science or machine learning solutions
• Demonstrated knowledge of principles of service-oriented architectures and ability to lead efforts in defining and implementing a service strategy
• Experience with relational and/or NoSQL databases with understanding of Normalization/Denormalization, Constraints, Transactions, Replication, and Sharding
• Experience communicating technical concepts to non-technical stakeholders