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Machine Learning Intern ('24)

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Tinder

Feb 12, 2024

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
  • Los Angeles

Requirements

  • 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, MS, or PhD in Computer Science or a related field (Graduation date of December 2024 onward
  • Nice to have:
  • Prior internship or work experience in ML/SWE-ML
  • Exposure to Software Engineering and/or enterprise-scale data engineering
  • Knowledge of ML frameworks like Tensorflow, PyTorch, Keras, Spark ML, etc.
  • Ability to effectively turn research ML papers into working code
  • Familiar with designing software systems and producing high-quality code

Responsibilities

  • Work with truly big data (1.6B+ user swipes per day)
  • Gain real-world experience on exciting challenges to improve the user experience
  • Design deep learning models for computer vision and natural language processing
  • Design and implement state-of-the-art machine learning algorithms in distributed machine learning frameworks such as Spark
  • Develop data-driven approaches to understand user profiles
  • 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.

The world’s most popular app for meeting new people.

Technology
Industry
201-500
Employees
2012
Founded Year

Mission & Purpose

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.

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