Person, Flooring, Wood, Floor, Hardwood, Furniture, Plywood, Couch, Sphere

 

Machine Learning Engineer, Related Pins

 

Machine Learning Engineer, Related Pins

  • San Francisco, California, United States

About Pinterest:

Pinterest helps people discover the things they love, and inspires them to go do those things in their daily lives. Related Pins, a.k.a. More Like This, is one of the largest content surfaces across Pinterest.  It helps user exploration by recommending other content related to an initial pin and the user context, often helping pinners discover the content they love but can’t quite describe in words. More than 45% of pins seen anywhere on Pinterest are recommended by the Related Pins backend. See our WWW 2017 paper for further technical details.

In 2020, Related Pins takes on a new initiative to improve user session experience and optimize for downstream engagements. Our goal is to leverage cutting edge machine learning technologies to personalize the recommendation feed through diversification, click shaping, etc, to maximize the downstream impact. On this project, you will work with a group of friendly and experienced ML engineers on the full cycle of ML ranking for the Related Pins recommendation system, build the next generation ML ranking solutions to optimize the total session engagement on closeup, including bringing in personalized recommendations, diversifying user traffic, and scaling ranking infrastructure.

What you’ll do:

  • Design and develop machine learning models to predict user’s intent on the closeup and enable personalized content retrieval in candidate generation.
  • Provide technical vision to a group of engineers and solid IC contributions to diversify the pin-to-pin recommendations. Build necessary models and infrastructure to shape the traffic to optimize the downstream engagement, e.g. total time spent, session length. 
  • Partner closely with other product teams, including Shopping, Content, Trust & Safety, to experiment with different algorithms and validate their effectiveness, while gaining knowledge of how ML works in all these products.
  • Use Big Data technologies (such as Hadoop, Spark, Storm) for building large scale data mining pipelines and identify product opportunities.
  • Develop processes and conduct live experiments to effectively evaluate ranking quality and impact on Pinner experiences.

What we’re looking for:

  • Ph.D. with 4+ years or Masters with 6+ years of software engineering/ML expertise and the ability to build scalable recommendation systems
  • Hands-on experience in content retrieval, personalized ranking, and user intent prediction.
  • Practical experience in machine learning, deep learning or information retrieval.
  • Experience in working with cross-functional product and engineering teams to understand requirements and incorporate them in the roadmap
  • Experience in working with large code bases, cross team collaboration, mentoring other engineers, giving and getting feedback, and reviewing code/systems.
  • Experience with MapReduce/Hadoop and/or distributed systems.

#LI-EA1

Apply Now

Not You?

Thank you

Open Opportunities

Data Scientist, Growth

Engineering 1429635 San Francisco California United States San Francisco, California, United States Engineering Engineering > Eng
About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspi...

University Grad Software Engineer

University > Engineering 1398486 Toronto. Palo Alto. San Francisco. Seattle Ontario. California. Washington Canada. United States Toronto, Ontario, Canada. Palo Alto, California, United States. San Francisco, California, United States. Seattle, Washington, United States University, Engineering University > Engineering
PLEASE ONLY APPLY FOR THIS POSITION ONCE. Location preferences are specified within the application. Multiple applications may delay our recruitment process. About Pinterest: Millions of people across the world come to Pinterest to find new ideas ...

Software Engineer, ML Platform

Engineering 664916 San Francisco California United States San Francisco, California, United States Engineering Engineering > Eng
About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspi...

Machine Learning Engineer, Shopping Content Mining

Engineering 1425175 Toronto Ontario Canada Toronto, Ontario, Canada Engineering Engineering > Eng
About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspi...

We’re looking for all kinds of people

To build an app that’s used and loved by people all around the world, we need a team with all kinds of different perspectives, experiences and backgrounds.

To put it legally: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. Pinterest policy prohibits unlawful discrimination based on race, color, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member), or any other consideration made unlawful by applicable federal, state, or local laws. It also prohibits discrimination based on a perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. All such discrimination is unlawful. Pinterest is committed to compliance with all applicable laws providing equal employment opportunities. This commitment applies to all persons involved in the operations of Pinterest and prohibits unlawful discrimination by any employee of Pinterest.

Pinterest is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accessibility@pinterest.com.

Pinterest will consider qualified applicants with arrest and conviction records for positions in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Ordinance, and other applicable state or local laws.

Pinterest also participates in the E-Verify program in certain locations, as required by law. See https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf and https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf