Machine Learning Intern
INROADS is partnering with Tinder for Summer Internships. Apply today!
Eligible candidates must have a 3.0 minimum cumulative GPA, be a U.S. Citizen or Permanent Resident and CANNOT graduate before 12.2024. Online application https://inroads.org/apply/ must be received within 24 hours of receiving resume for internship of interest.
INROADS (www.inroads.org) is a nationally recognized nonprofit organization that gives high-potential future executives from culturally, ethnically, and economically diverse backgrounds a competitive advantage in their careers. We provide unparalleled networking opportunities with career-minded peers; year-round professional coaching and guidance from managers; and professional development. We also provide management training that includes career related, paid internships with some of America's top companies. We are seeking undergraduate candidates for paid summer internships with our 200+ corporate partners.
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.
About the Role
As a Machine Learning Engineer at Tinder you will help us explore a vast amount of data and derive knowledge to improve user experience, safety, monetization and generally make the world a better place. We are deeply invested in leveraging data driven approaches to understand user preferences and generate business insights that will shape the future of an app that is widely known the world over.
Where you'll work
- This is a hybrid role and requires in-office collaboration three days per week. The position will be located in Los Angeles, CA.
What you'll do:
- 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.
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, 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