Senior Platform Machine Learning Engineer

We’re looking for an experienced Machine Learning Engineer with a strong background in cloud infrastructure, automation, and scalable systems. This role focuses on building and maintaining the platforms that enable machine learning and data teams to develop, deploy, and operate solutions efficiently and reliably.

Success in this position requires strong technical judgment, a proactive mindset, and a passion for improving developer and operational experiences. You’ll work closely with engineers, data scientists, and cross-functional partners to create resilient systems that support innovation at scale. This is an opportunity to make a meaningful impact by shaping the infrastructure, tooling, and operational foundations that power modern AI and data-driven products.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

7+ years of experience in software engineering, platform engineering, or DevOps/SRE roles.

Strong systems engineering background with production operations experience.

Strong experience with backend or platform services.

Hands-on experience with cloud infrastructure and tooling (e.g., AWS, Docker, Kubernetes, Terraform, CI/CD, monitoring).

Experience operating distributed systems in production.

Strong problem-solving skills and an operations-first mindset.

Ability to thrive in a fast-paced, high-tech environment and manage complex problems.

Nice to Have Skills & Experience

Experience with machine learning infrastructure, model serving, or data platforms

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.