Machine Learning Ops Engineer

GameChanger is revolutionizing youth sports technology as a remote-first company based in New York City. We're seeking a skilled MLOps Engineer to lead our computer vision and machine learning model deployments. This role is crucial in building the infrastructure that powers our sports analytics platform, focusing on basketball, baseball, and softball.

The position offers an exciting opportunity to work with senior leadership and establish the foundations for computer vision in our product. You'll be responsible for designing MLOps pipelines, managing model lifecycles, and optimizing cloud infrastructure. The role requires expertise in Python, PyTorch/TensorFlow, and cloud platforms, particularly AWS.

As an MLOps Engineer, you'll collaborate with cross-functional teams to deliver solutions that enhance the youth sports experience. The position offers competitive compensation ($130K-$160K), equity, and comprehensive benefits including unlimited vacation, health coverage, and 401(k) matching.

This is an ideal opportunity for a senior engineer passionate about machine learning infrastructure and sports technology. You'll have the autonomy to shape the future of computer vision applications in sports while working with a company that values work-life balance and professional growth. The remote-first environment offers flexibility, and you'll be part of a mission to elevate youth sports through technology.