Staff Machine Learning Platform Engineer

Hinge, the dating app designed to be deleted, is seeking a Staff Machine Learning Platform Engineer to lead their Feature Store platform development. This role sits at the intersection of ML infrastructure and platform engineering, requiring both technical expertise and leadership skills.

The position offers an exciting opportunity to shape the future of machine learning at a rapidly growing company. You'll be responsible for designing and evolving the Feature Store platform, enabling efficient data exploration and feature engineering operations for both offline and online use cases. The role requires deep technical knowledge in ML systems, data engineering, and cloud platforms, combined with strong leadership and communication skills.

As a Staff ML Platform Engineer, you'll work with a diverse set of stakeholders including ML engineers, data scientists, and platform teams. You'll need to maintain a holistic view of how data flows through the ML lifecycle, from experimentation to production. The role offers significant technical challenges, including scaling ML infrastructure, optimizing data processing systems, and ensuring compliance with privacy frameworks.

The position comes with competitive compensation ($245,290 - $294,350) and comprehensive benefits, including generous 401(k) matching, learning stipends, and parental leave. Hinge offers a collaborative environment with eight Employee Resource Groups and a culture focused on authenticity, courage, and empathy.

The ideal candidate will bring 5+ years of experience in ML platform or data engineering, strong programming skills in languages like Python, Go, or Java, and proven experience with Feature Store platforms. This role provides an opportunity to make a significant impact on how millions of people connect and find relationships while working with cutting-edge ML infrastructure.

Working in a hybrid setup from New York City, you'll be part of a team that values diversity and innovation, with the chance to mentor others and grow as a technical leader. The role offers the perfect blend of technical challenges, leadership opportunities, and the chance to work on meaningful problems at scale.