About the role

Aplyr's Quick Take

This role is for a Staff Machine Learning Engineer focused on enhancing user growth and monetization for Hinge. You'll design and implement machine learning systems to create personalized user experiences and drive revenue. It's an individual contributor role with a strategic impact on product development.

Good fit

Ideal candidates have significant experience in machine learning and a background in product-focused engineering. You should be comfortable working independently and enjoy tackling complex problems in a fast-paced environment.

Worth noting

The position offers a high salary range, reflecting the demand for skilled ML engineers in the dating app sector. The emphasis on defining vision and strategy suggests a chance to shape the direction of the product significantly.

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 millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.

About the Role:

We are hiring a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning systems that power our core products in User Growth and Monetization. You will work on building deeply personalized user experiences that drive business growth and meet individual needs and preferences: by targeting the right users with the right products at the right time, we empower product teams to drive meaningful growth in revenue and user engagement while enhancing user satisfaction.

The Growth Product Group is responsible for the development of paid features to accelerate dating outcomes, driving engagement throughout a user’s lifecycle and making Hinge the dating destination for all communities. You can expect to work on a broad range of problems, from identifying how to send the right message to the right user at the right time to optimizing the efficacy of our paid offerings. This is a fast growing team, and you will help define the vision and strategy that drives meaningful growth and accelerates machine learning at Hinge.

Skills & Tags

rust machine learning ai product design

Aplyr's read

Match Group is a dominant force in online dating, attracting tech-savvy professionals driven by innovation and a desire to connect people worldwide.
Synthesized from recent postings & public sources

What's promising

•Match Group's diverse portfolio includes leading dating apps like Tinder and OkCupid.
•Strong focus on AI and machine learning enhances user experience and safety.
•Global presence offers opportunities for international career growth and cultural exchange.

What to watch

•Intense competition from new dating apps could impact market share.
•Privacy concerns are heightened due to sensitive user data handling.
•Dependence on subscription revenue may limit financial flexibility.

Why Match Group

•Operates a wide range of niche dating platforms catering to diverse demographics.
•Pioneered the use of AI in enhancing matchmaking algorithms.
•Hosts a collaborative environment with roles spanning tech, marketing, and communications.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Match Group

Match Group

matchgroup.com

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Match Group, Inc. is a global leader in online dating services, operating several popular dating platforms including Tinder, Match.com, OkCupid, and Plenty of Fish.