Machine Learning Engineer Intern

Posted 3 Days Ago
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Palo Alto, CA
Hybrid
Internship
Artificial Intelligence • Machine Learning • Mobile • Other • Social Impact • Software • App development
Hinge is the dating app designed to be deleted.
The Role
The Machine Learning Intern will collaborate with senior engineers to design and implement ML algorithms, work on production-related challenges, and participate in Hackathons to enhance user experience across Tinder's platforms.
Summary Generated by Built In
Our Mission

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.

Program Duration
The internship program will run from June 1 through August 31, 2026.

Where you’ll work
This is a hybrid role that requires in-office collaboration three days per week in Palo Alto, California.

About the Role
The Tinder ML team drives impact across nearly every core domain of the product — from Recommendations and Trust & Safety to Profile, Chat, Growth, and Revenue. Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder’s ecosystem. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology. In this internship program, you will collaborate with senior engineers to build and deploy ML solutions that advance Tinder’s business goals.

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.

Commitment to Inclusion

At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. 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

If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.

#Tinder

Top Skills

Airflow
Databricks
Keras
Python
PyTorch
Spark
TensorFlow
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The Company
New York, NY
305 Employees
Year Founded: 2011

What We Do

In today’s digital world, singles are so focused on sending likes and looking through profiles that they’re not actually building meaningful connections and going on dates. Hinge is on a mission to change that by designing the most effective app experience. We want to create a less lonely world by inspiring intimate, in-person connections. Relationships are at the core of everything we do. And not just the romantic kind. We can't accomplish really hard things alone - so we make great relationships the foundation of our teamwork.

We believe these three core values are what it takes to build those great relationships: Authenticity, we share - never hide - our words, actions, and intentions. Courage, breakthroughs require a willingness to take risks and embrace lofty goals and tough challenges. Empathy, we're all humans first. So we deeply consider the perspectives of others, listen openly, and speak with care.

Why Work With Us

We're mission-driven. While most apps think about boosting sessions and time on app, we think strategically about meaningful end results (dates and relationships).

We're culture-first. We believe in great people over process. Decisions are pushed to the front lines, with feedback and coaching provided by our leaders.

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Hinge Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Hinge believes in the power of in-person connection. We have adopted a hybrid model that allows our people to stay connected to each other in-person.

Typical time on-site: 3 days a week
New York, NY
Our office is located in the beautiful Meatpacking district. We're steps away from the Whitney Museum of American Art and the High Line and near Chelsea Market. You'll not only fall in love with us, but with our office.

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