Match Group

Match Group

Machine Learning Engineer II

Palo Alto, California · Mid · Full-time

Sponsorship not specified$145k-$165kDetected 50 days ago
Machine LearningSparkResearchCollaborationMentoring

About the role

  • This is an individual contributor role focused on modeling and algorithmic innovation.
  • The team's work directly translates into measurable business outcomes, and many of its models are embedded in core Tinder user flows at scale.
  • This is a hybrid role and requires in-office collaboration three times per week in Palo Alto, California.

Responsibilities

  • Just as our users are better when they connect with others, so are we when we collaborate.
  • We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters.
  • We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds.

Nice to have

  • As a full-time employee, you'll enjoy:
  • Free subscription to Tinder Gold
  • Commitment to Inclusion
  • Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer.
  • Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences.
  • Learn more here: https://www.lifeattinder.com/dei

Skills

  • Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation

Compensation

  • Time off to volunteer and charitable donations matched up to $15,000 annually

Benefits

  • Flexible Vacation, 10 Sick Days
  • mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development
  • access to mental health support via Modern Health, paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
  • We are looking for a Machine Learning Engineer II to help build and ship machine learning systems that improve product experience and drive measurable business impact.

Company info

  • As humans, there are few things more exciting than meeting someone new.
  • At Tinder, we're inspired by the challenge of keeping the magic of human connection alive.
  • With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive-and rapidly growing.
  • We work together to solve complex problems.
  • Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
  • Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down.
  • Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today.
  • Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate.
  • Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same.
  • Safety First: We act with integrity, transparency, and consistency so people feel safe-whether they're swiping, matching, or working alongside us.
  • Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters.
  • The Tinder ML team drives impact across nearly every core domain of the product - Recommendations, Trust & Safety, Profile, Chat, Growth, and Revenue optimization.
  • Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder's ecosystem.
  • ML at Tinder is organized into three groups with distinct roles:

Equal opportunity

  • equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences.
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This listing is sourced directly from Match Group's careers page and normalized into a canonical job model.