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.
What you'll do:
- Gain real-world experience on exciting challenges to improve the user experience.
- Design and implement machine learning algorithms for the assigned domains: Recommendation, Trust, Profile, Chat, Growth, or Revenue.
- Experience the ML model formulation of production problem under the guidance.
- Work closely with a Senior Engineers to develop machine learning solutions to further Tinder’s business goals.
- Participate in the annual Tindership Hackathon, presenting with your team to the entire Tinder team and panel of executives.
What we're looking for:
- Aspiring ML Engineer who’s excited to work on large scale challenges with cutting-edge technology.
- Practical knowledge of how to build efficient end-to-end ML workflows.
- Proficient in Python.
- Hands-on experience in designing and building ML models.
- Foundational knowledge of basic Computer Science principles: data structures and algorithms.
- Currently pursuing a BS/BA or MS in Computer Science or a related field.
Nice to have:
- Publications in top ML or data science conferences (e.g., NeurIPS, ICML, RecSys, KDD).
- Experience deploying ML models in production environments.
- Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
- Experience with Databricks, Spark, or Airflow.
- Proficiency in additional programming languages like Go, Java or Scala.
Skills Required
- Currently pursuing a BS/BA or MS in Computer Science or a related field
- Practical knowledge of how to build efficient end-to-end ML workflows
- Proficient in Python
- Hands-on experience in designing and building ML models
- Foundational knowledge of basic Computer Science principles: data structures and algorithms
Match Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Match Group and has not been reviewed or approved by Match Group.
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Retirement Support — Employer matching on retirement savings and access to an employee stock purchase program are highlighted as standout elements. Feedback suggests this creates strong long-term financial support as part of total rewards.
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Parental & Family Support — Fully paid parental leave, fertility and family-forming support, and childcare resources are emphasized across materials. Feedback suggests these benefits meaningfully support different family needs.
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Leave & Time Off Breadth — Generous PTO, numerous paid holidays, wellness and volunteer time, and other special leave options are consistently described. Feedback suggests the breadth of time-off options helps sustain work-life balance.
Match Group Insights
What We Do
Match Group is home to some of the world’s most popular dating and social discovery apps, including Tinder, Hinge, Match, and more. Match Group’s mission is to spark meaningful connections for every single person worldwide. Our diverse portfolio of apps enables connections across a diverse range of ages, genders, backgrounds, and dating goals. Our services are available in over 40 languages to users all over the world.
Why Work With Us
Match Group is united by a mission to help people find meaningful connections and fight loneliness. We’re not just building products. We’re creating friendships, marriages, and families around the world. Our culture is fueled by purpose, creativity, and a passion for what we can build together.
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