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 engineering leadership, requiring both technical expertise and strategic vision.

The position involves architecting and maintaining Hinge's Feature Store capabilities, enabling both offline and online feature serving for machine learning applications. You'll be responsible for creating scalable solutions that support data exploration, feature engineering, and model training/inference workflows. The role requires deep technical knowledge in ML systems, data engineering, and cloud platforms, while maintaining a strong focus on user experience and system efficiency.

As a technical leader, you'll collaborate with ML engineers, data scientists, and platform teams to ensure the Feature Store meets growing data demands while maintaining compliance with privacy frameworks. The position offers significant growth opportunity, as you'll be instrumental in shaping Hinge's ML infrastructure future.

The compensation is competitive, ranging from $244,000 to $293,000 annually, with comprehensive benefits including 401(k) matching, learning stipends, and parental leave. The role is hybrid-based in New York, offering flexibility while maintaining team collaboration.

Key technical requirements include 5+ years of engineering experience, proficiency in Python/Go/Java, and extensive knowledge of cloud platforms and ML systems. The ideal candidate will combine technical expertise with leadership skills, having experience in leading projects and mentoring team members.

This role presents a unique opportunity to impact millions of users' lives through ML infrastructure while working with cutting-edge technologies in a rapidly growing team. The position offers both technical challenges and leadership opportunities, making it ideal for senior engineers looking to advance their careers in ML platforms while making a meaningful impact on how people connect and find relationships.