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Hinge

Senior Machine Learning Platform Engineer

Reposted 18 Hours Ago
Easy Apply
Hybrid
New York, NY
Senior level
Easy Apply
Hybrid
New York, NY
Senior level
The Senior ML Platform Engineer at Hinge will develop and maintain an AI/ML platform, collaborate with teams to optimize machine learning processes, and mentor ML engineers. This role includes designing scalable ML systems and ensuring responsible AI practices.
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Hinge is the dating app designed to be deleted


In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.


About the Role


Joining Hinge’s AI Platform Core team offers a unique opportunity to help define and contribute to a budding ML platform with the goal of accelerating the development, deployment, and operations of AI enabled features on Hinge. If you are excited by the idea of working on challenges ranging from establishing our initial training and serving frameworks, building millisecond real-time predictions at scale, automating the machine learning model lifecycle, implementing model monitoring, and building support for generative AI models, then read on!


With a mission to democratize AI for Hinge, ensuring it remains easily accessible, robust, scalable, cost-efficient, and trusted you'll collaborate across our product and engineering teams, as well as with external stakeholders. You will meet our internal customers where they are and optimize towards their needs by delivering value incrementally and coupled to their problems. Being part of a small yet impactful team means having a broad scope of responsibility, and as ML is still in its early stages at Hinge, this role provides a chance to grow as a leader by mentoring others across the company. This is an exciting opportunity to own and help define the future of machine learning within a rapidly growing team!


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