Machine Learning Engineer Intern
Match Group3 days ago
Palo Alto, CA, USAIntern
H1B sponsor
Responsibilities
- Design and implement machine learning algorithms for recommendation, trust, profile, chat, growth, or revenue domains.
- Build efficient end-to-end ML workflows and develop machine learning solutions with guidance from senior engineers.
- Formulate production ML problems and help deploy solutions that advance Tinder’s business goals.
- Gain experience solving large-scale user experience challenges.
- Participate in Tinder’s annual Tindership Hackathon and present work to Tinder employees and executives.
Requirements
- Currently pursuing a BS/BA or MS in Computer Science or a related field.
- Practical knowledge of building efficient end-to-end ML workflows.
- Proficiency in Python.
- Hands-on experience designing and building ML models.
- Foundational knowledge of computer science principles, including data structures and algorithms.
- Preferred: publications in top ML or data science conferences such as NeurIPS, ICML, RecSys, or KDD.
- Preferred: experience deploying ML models in production environments.
- Preferred: familiarity with PyTorch, TensorFlow, Keras, Databricks, Spark, or Airflow.
- Preferred: proficiency in Go, Java, or Scala.
Benefits
- Internship program runs from June 1 through August 31, 2027.
- Hybrid role requiring in-office collaboration three days per week in Palo Alto, California.
- Opportunity to collaborate with senior engineers on large-scale ML challenges.
- Participation in the annual Tindership Hackathon with presentation opportunities to Tinder employees and executives.
Tech Stack
Categories
About Match Group
Match Group builds and operates a global portfolio of online dating apps, including Tinder, Hinge, Match, OkCupid, Plenty of Fish, Meetic, The League, and HER. It monetizes through freemium subscriptions, à la carte in‑app features, and advertising; the public company trades on NASDAQ and is headquartered in Los Angeles, serving users across many markets and languages.