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Featured Employers
Senior Machine Learning Engineer, Engagement
Company: Match Group
Location: San Francisco, CA
Employment Type: Full-Time
Date Posted: 09/10/2021
Expire Date: 02/24/2022
Job Categories: Education, Engineering, Healthcare, Practitioner and Technician, Information Technology, Insurance, Research & Development, Development and Fund Raising
Job Description
Senior Machine Learning Engineer, Engagement
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 new and meaningful connections. Our engineering team has one of the highest ratios of users to engineers in the industry, which makes every member of the team critical to our success. You'll have a unique opportunity to join a company with a global footprint and work on impactful projects. 

We are looking for a great candidate to join the engagement - machine learning team at Tinder. Our mission is to grow and engage Tinder's global user base through machine learning and product innovation. Tinder has massive diversified users, and various engagement products to offer. Our team uses data-driven approaches to understand user preferences, generate business insights, and shape engagement roadmap. Our machine learning projects cover user acquisition, user churn prevention, and user reactivation. You will help us explore a vast amount of data and derive knowledge to improve customer relation management. If you are a relentless problem-solver and can transform large amounts of data into optimized product features, we want to hear from you.

In this Machine Learning Engineering role, you will:

  • Work on exciting problems on engagement machine learning with a focus on user acquisition and retention, customer relationship management
  • Collaborate with key partners to explore opportunities to develop data-driven solutions by developing and utilizing statistical modeling and machine learning algorithms
  • Translate ambiguous statements into structured problem statements and testable hypotheses
  • Collaborate with a team of machine learning engineers, and business partners to take an opportunity or problem from concept to scaled solution
  • Design and implement state-of-the-art machine learning algorithms in distributed machine learning frameworks such as Spark

We're Looking For:

  • Ph.D. or MS in machine learning, computer science, physics, statistics, or other highly quantitative fields
  • 4+ years professional experience in machine learning
  • Hands-on experience in designing and building highly scalable distributed ML models
  • Proficiency in Python, SQL

Bonus Points If You Have:

  • Experience with causal inference and uplift modeling
  • Proficiency in Spark, Scala, and Hadoop
  • Experience with one or more of the following: Targeting systems, recommendation systems, ranking systems, or similar
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, Employee Stock Purchase Plan (ESPP)
• Other perks and wellness benefits like a fitness membership subsidy, paid concierge medical membership, pet insurance offerings, and a commuter subsidy
• A robust Learning + Development offering including our MentorMatch program, access to a library of 6,000+ online learning courses through Udemy, and an annual L+D stipend
• Access to mental health resources
• Fertility preservation benefits
• No Meeting Wednesdays 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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