Apache Hadoop, Apache Hive, C++, Java Programming, Machine learning techniques, MapReduce, Project management, Python Programming, Spark Core
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
Home, Closeup and Search (aka Discovery) are three major discovery platforms at Pinterest that serve users with relevant and related content according to their interests and queries. We have hundreds of millions of users visiting the three platforms on a monthly basis to get inspired and turn their inspiration into actions to improve their daily lives. We are looking for a Staff Machine Learning Engineer who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You’ll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics.
What you’ll do:
What we’re looking for:
Desired skills:
US based applicants only
$247,000—$413,500 USD
Our Commitment to Diversity:
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. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support.
Pinterest is a social media platform that allows users to discover and save ideas for various interests, hobbies, and projects. It has since become a popular visual search engine and bookmarking tool. Users can create boards, which are like virtual pinboards, to organize and save their ideas and inspirations. They can also browse other users' boards and pins to find new ideas, and follow other users with similar interests.
Palo Alto, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
8-10 year
San Francisco, CA, USA
6-8 year
Palo Alto, CA, USA
6-8 year
Palo Alto, CA, USA
6-8 year
Palo Alto, CA, USA
8-10 year
San Francisco, CA, USA
8-10 year
San Francisco, CA, USA
8-10 year
San Francisco, CA, USA
6-8 year
Seattle, WA, USA
6-8 year
Palo Alto, CA, USA
6-8 year
San Francisco, CA, USA
6-8 year
Seattle, WA, USA
6-8 year
Palo Alto, CA, USA
6-8 year
San Francisco, CA, USA
6-8 year
Seattle, WA, USA
6-8 year
San Francisco, CA, USA
6-8 year
Palo Alto, CA, USA
6-8 year
San Francisco, CA, USA
6-8 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA; United States
6-8 year
San Francisco, CA, USA; Palo Alto, CA, USA; Seattle, WA, USA
4-6 year
San Francisco, CA, USA; Palo Alto, CA, USA; Seattle, WA, USA
4-6 year
San Francisco, CA, USA; Palo Alto, CA, USA
4-6 year