Staff Machine Learning Engineer, Core Engineering at PRINTEREST INC

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

364254.0

Posted On

22 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Mining, Search, Recommendations, Natural Language Processing, Statistical Methods, Cross-Functional Collaboration, Communication

Industry

Software Development

Description

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. With more than 530 million users around the world and 400 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else. What you’ll do: Be responsible for the development of state-of-the-art applied machine learning projects for one of the 4 openings we currently have on Closeup (Related Pins), Applied Science, Search Ranking, and Curation Design features and build large-scale machine learning models to improve user ads action prediction with low latency Develop new techniques for inferring user interests from online and offline activity Mine text, visual, user signals to better understand user intention Work with product and sales teams to design and implement new ad products What we’re looking for: Degree in computer science, machine learning, statistics, or related field 6+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing 2+ years of experience leading projects/teams Strong mathematical skills with knowledge of statistical methods Cross-functional collaborator and strong communicator Background in computational advertising is preferred, but not required In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $176,924—$364,254 USD Our Commitment to Inclusion: 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, ancestry, national origin, 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

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Responsibilities

Develop state-of-the-art applied machine learning projects and build large-scale machine learning models to improve user ads action prediction. Collaborate with product and sales teams to design and implement new ad products.