Staff MLOps Platform Engineer

Who you are

You have extensive experience in MLOps, with a strong focus on building and maintaining machine learning platforms that prioritize reliability and scalability. Your background includes working with cloud services like AWS, and you are proficient in containerization technologies such as Docker and orchestration tools like Kubernetes. You possess a deep understanding of machine learning workflows and have a solid foundation in programming languages, particularly Python, which you use to automate processes and streamline operations.

You thrive in collaborative environments and enjoy working closely with data scientists and ML engineers to abstract complexity and establish best practices. Your ability to communicate technical concepts clearly allows you to bridge the gap between engineering and data science teams effectively. You are passionate about enhancing developer velocity and creating self-service capabilities that empower teams to experiment and deploy models efficiently.

Desirable

Experience with CI/CD pipelines and monitoring tools is a plus, as is familiarity with data versioning and model management frameworks. You are always eager to learn about the latest advancements in machine learning and MLOps, and you actively seek opportunities to implement innovative solutions that drive performance improvements.

What you'll do

In this role, you will take ownership of WHOOP's MLOps platform, ensuring that it meets the needs of various teams across the organization. You will design and implement systems that facilitate the development, deployment, and operation of machine learning models, focusing on reliability and observability. Your work will directly impact the effectiveness of data scientists and ML engineers, enabling them to focus on their core tasks without being bogged down by infrastructure concerns.

You will collaborate with cross-functional teams to define standards and best practices for model deployment and monitoring. By creating self-service capabilities, you will empower teams to conduct experiments and manage production workloads independently. Your contributions will help establish a robust machine learning ecosystem that supports WHOOP's mission to unlock human performance and healthspan.

What we offer

At WHOOP, you will be part of a mission-driven organization that values innovation and collaboration. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a dynamic environment where your contributions will have a meaningful impact on the health and performance of our members. Join us in our journey to revolutionize how individuals understand and optimize their health.