Staff Machine Learning Engineer

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Tinder connects people. With tens of millions of users and a presence in every country on earth, our reach is expansive—and rapidly growing. Your daily work here will cause millions of people to spark meaningful connections. We have a small, dedicated engineering team with one of the highest ratios of users to engineers in the industry, making every member of the team critical to our success. We're looking for someone that can help us explore a vast amount of data and derive knowledge from that data that can be used to improve our product.

About The Role

The staff machine learning engineer role will be responsible for the development of machine learning models and systems for recommendation applications. Recommendation algorithms directly control who can be matched together in Tinder, and optimize the whole ecosystem. You'll have a unique opportunity to join a company with a global footprint while working on a team that’s small enough for you to feel the impact each day.

What You’ll Do

  • Lead a machine learning team, which solves meaningful problems at massive scale (1.6B+ user swipes per day).
  • Work on exciting problems that directly impact Tinder’s ecosystem
  • Design and implement state-of-the-art machine learning algorithms in distributed machine learning frameworks such as Spark
  • Define and own the objectives and metrics for your team, and devise a development strategy and roadmap
  • Lead and mentor team members to reach their full potential

What You’ll Need

  • 5+ years of industry experience in machine learning
  • Someone who is not afraid to make critical decisions and has a bias towards action
  • Ability to encourage and motivate the team to go above and beyond
  • Experience in designing and building highly scalable distributed ML models
  • PhD or MS in machine learning, computer science, statistics or other highly quantitative fields

Team Challenges

  • Tinder has massive diversified users. One of the key challenges is to efficiently determine who should be recommended to match together. We use machine learning and data driven approaches to understand our users, and find the best matches that satisfy both requirements.

As part of our team, you’ll enjoy:

• Working on a product that has an immediate impact on people’s lives all around the world

• Collaborating with a team of creative, fun and driven colleagues 

• Comprehensive health coverage, competitive salary, 401(k) employer match

• Other perks and wellness benefits like a fitness membership subsidy, paid concierge medical membership, pet insurance offerings, and a commuter subsidy

• Access to mental health resources

• Fertility preservation benefits

• No Meeting Wednesdays, an annual Learning + Development stipend, and access to a wide range of product and service discounts through Perkspot

• Charitable donations match up to $15,000 annually 

• Monthly and weekly interactive virtual events including Book Club, trivia with prizes and yoga workouts

• The opportunity to join six active Employee Resource Groups (ERGs)

At Tinder, we don’t just accept difference — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our product, and our community. We strive to make our workplace an inclusive and diverse environment, giving people from all walks of life the opportunity to have a voice. We champion and encourage those who bring different perspectives, ideas, and creativity to join our team dedicated to bringing people together across the globe. Tinder is proud to be an equal opportunity workplace where we welcome all people regardless of sex, gender identity, race, ethnicity, disability, or other lived experience.

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Location

116 New Montgomery St. Ste 600, San Francisco, CA 94105

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