Machine Learning Engineer Intern

Match Group logo

Match Group

1,001-5,000 employeesLos Angeles, CaliforniaSoftware Development
Actively hiringPaidSummer 2027Software Development
Apply Now

Best applied by Nov 21

Access our internships job board to view 10,000+ active internships.


About the role#

The Tinder machine learning team builds solutions across core product areas including recommendations, trust and safety, profile, chat, growth, and revenue. As an intern, you will work alongside senior engineers to design and deploy algorithms that support company goals. This role offers the chance to work on large-scale technical challenges within a global product.

What you'll do#

  • Design and implement machine learning algorithms for specific domains like recommendation or revenue.
  • Formulate ML models for production environments with guidance from senior staff.
  • Develop solutions that directly improve the user experience.
  • Participate in the annual Tindership Hackathon and present your work to Tinder staff and executives.

What you'll need#

  • Current pursuit of a BS, BA, or MS degree in Computer Science or a related field.
  • Proficiency in Python and foundational knowledge of data structures and algorithms.
  • Practical experience designing and building ML models and end-to-end workflows.
  • Interest in solving large-scale technical challenges.
  • Familiarity with deep learning frameworks like PyTorch, TensorFlow, or Keras is helpful.
  • Experience with tools such as Databricks, Spark, or Airflow is a plus.
  • Proficiency in Go, Java, or Scala is beneficial.
  • Prior publications in top ML or data science conferences or experience deploying models to production are preferred.

Location & details#

  • This is a full-time, paid internship for Summer 2027.
  • The program runs from June 1 through August 31, 2027.
  • The role is hybrid, requiring three days of in-office collaboration per week in Palo Alto, California.
Relevant fieldsComputer Science

About Match Group

Match Group develops software for online dating and social discovery. Its portfolio includes brands like Tinder, Hinge, Match, and OKCupid. The company operates globally in over 40 languages. It is based in Los Angeles and maintains a workforce between 1,001 and 5,000 employees.

LinkedInWebsiteCareers emailMatch Group contact channels unlock with a free account
All Match Group internships

How to get in at Match Group

Applying to Match Group early gives you a distinct advantage because recruiters review applications before the talent pool becomes overwhelming. Intern Insider sends an instant alert the moment a role matching your target is published, so you can be among the first to submit your materials. This timing often determines whether your resume makes the initial cut. You can improve your response rate by reaching out to the recruiters behind these roles directly to ask about the position or a potential referral. Intern Insider surfaces the specific recruiters managing these openings, allowing you to bypass the generic application queue. Connecting with a human contact shows you have done your research, which is a helpful step when navigating a large organization.

Get alerts for new Match Group internships
Share

Interns who landed roles with Intern Insider

“When I started my internship search, every posting I found seemed to require previous experience. Intern Insider helped me find roles that were actually entry-level friendly.”
Anne T., Finance & Operations Intern

Anne T.

Finance & Operations Intern

“I went from juggling multiple tabs to having everything I needed on one platform. The convenience is unmatched and worth every penny.”
Setare M., System Integration Intern

Setare M.

System Integration Intern

Apply to more than this one.

10,000+ open internships in one place, with the deadlines and the people to email.

Create free account
Apply by Nov 21Apply Now
Privacy

Cookies

Manage optional cookies and similar technologies. You can update these choices anytime. Read our privacy policy

EssentialKeep you signed in and support security and basic site features.Always on
AnalyticsHelp us improve the site by measuring how people use it.
AdvertisingHelp us show relevant ads and measure how well they work.