Machine Learning Intern eHarmony
THIS JOB HAS EXPIRED
Current Openings Â» Machine Learning Intern
Machine Learning Intern
University | Santa Monica, CA
eHarmony is a growing, global technology company built on the belief that marrying computer science and relationship psychology can change the way people find their most significant relationships. Do you want to bring happiness to people's lives while working with amazingly talented colleagues?
We're looking for innovators and problem solvers who are passionate about taking on the biggest of challenges. We were the first to introduce matchmaking into the online dating space, and we do it better than anyone else. We're the Netflix where your movies have to like you back; we're the LinkedIn where you love your connections; and we're the place long-lasting, meaningful relationships are built online. How much of an impact do we have? Nearly 5% of all marriages in the U.S. are created by eHarmony. That's 271 marriages per day.
eHarmony is pre-IPO, well-funded and profitable. We have more than 33 million registered users spanning across 150 countries and have launched country-specific services in the United Kingdom and Australia and through our affiliation with eDarling, have a presence in 11 countries throughout continental Europe. Our competitive compensation package includes a base salary, discretionary bonus, stock options, free drinks and snacks, ping pong, video games and an on-site chair masseuse. Our 65,000 square foot headquarters is located in Santa Monica, CA, just blocks from the Pacific Ocean.
You will be working on eHarmony's Matching team. During your internship you will have fun wrangling large amounts of data, demonstrating power of the features you have engineered on historical data and writing code to implement these features for use in production.
You will love it if you
We have projects in the following areas this year:
- have used ML creatively to build things in the past
- are strong in scripting as well as java
- have used vowpal wabbit and/or Mahout
- know when to see a problem as ranking, classification or probability estimation
- celebrate when simple algorithm beats a complex one
- can deliver within the short span of an internship
- Computer vision
- Timeseries analysis
- Data visualization
- Text classification
- Contextual bandit learning
||University, CA |
THIS JOB HAS EXPIRED