Machine Learning Engineer, Recommendations at Tinder | Powderkeg

Location: San Francisco, California

Employment Type: Regular

Team: Engineering

Tinder connects people. With tens of millions of users and a presence in every country on earth, our reach is expansive — and rapidly growing. Your work here will cause millions of people to spark meaningful connections. Our dedicated engineering team has one of the highest ratios of users to engineers in the industry, which makes every member of the team important to our success. We are looking for team members to help us explore the vast amount of data and derive knowledge from it that can be used to improve our product. If you are a problem-solver who can transform large amounts of data into sound recommendations to improve the user experience, we want to hear from you.

In this role, you will

  • Work with big data (1.6B+ user swipes per day)
  • Work on problems for improve user experience
  • Develop data-driven approaches to understand user profiles
  • Design and implement powerful machine learning algorithms in distributed machine learning frameworks such as Spark

You should have:

  • Hands-on experience in designing and building highly scalable distributed ML models
  • Proficiency in Python, SQL

Bonus points if you have:

  • PhD or MS in machine learning, computer science, statistics or other quantitative fields
  • In-depth knowledge of deep neural networks, classification techniques, computer vision, and natural language processing
  • Proficiency in deep learning framework: Tensorflow, Keras, etc.
  • Experience in big data frameworks such as Spark and Hadoop.
  • Experience with AWS
  • Publications in top conferences such as NIPS, ICML, and KDD.

As part of our team, you’ll enjoy:

• Working on a product that has an immediate impact on people’s lives all around the world

• Collaborating with a team of creative, fun and driven colleagues

• Comprehensive health coverage, competitive salary, 401(k) employer match, Employee Stock Purchase Plan (ESPP)

• Other perks and wellness benefits like a fitness membership subsidy, paid concierge medical membership, pet insurance offerings, and a commuter subsidy

• A robust Learning + Development offering including our MentorMatch program, access to a library of 6,000+ online learning courses through Udemy, and an annual L+D stipend

• Access to mental health resources

• Fertility preservation benefits

• No Meeting Wednesdays and access to a wide range of product and service discounts through Perkspot

• Charitable donations match up to $15,000 annually

• Monthly and weekly interactive virtual events including Book Club, trivia with prizes and yoga workouts

• The opportunity to join six active Employee Resource Groups (ERGs)

At Tinder, we don’t just accept difference — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our product, and our community. We strive to make our workplace an inclusive and diverse environment, giving people from all walks of life the opportunity to have a voice. We champion and encourage those who bring different perspectives, ideas, and creativity to join our team dedicated to bringing people together across the globe. Tinder is proud to be an equal opportunity workplace where we welcome all people regardless of sex, gender identity, race, ethnicity, disability, or other lived experience.

Job Summary
  • Job Title
    Machine Learning Engineer, Recommendations
  • Company
  • Location
    Los Angeles, CA
  • Employment Type
    Full time
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