FreshRemote.Work

Staff Machine Learning Engineer, Notifications Content Science

San Francisco, CA, US; Remote, CA, US

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 inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

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. 

The Notifications Content Science team directly contributes to the company’s top line growth (MAUs) by recommending personalized, high quality, inspirational content to Pinners through Email, Push and In-app Notifications. The team focuses on minimizing user churn by recommending engaging and contextual content that continuously gives Pinners a compelling reason to return to Pinterest. This is accomplished through:

  • Designing, building and maintaining the ML components for Retrieving, Ranking and Blending content that powers our Email, Push and In-app Notifications. 
  • Ensuring that the content is personalized, inspirational and embodies the Pinterest values.

What you’ll do

  • Tackle various challenging problems, including Candidate Retrieval, Ranking, Utility and Blending. This involves recognizing opportunities, researching, building, improving, testing and productionizing ML models with the goal to improve pinner satisfaction and reduce churn.
  • Be a strong builder that can productionize a new ML component (e.g. a new retrieval source, a light-weight L1 ranker, a complex L2 ranker) end-to-end. 
  • Have the ability to break down a large, ambiguous project into well defined tasks and mentor ICs towards executing them. 
  • Work closely with the Engineering and Product leads to craft a compelling, ambitious and impactful AI/ML-powered technical strategy for evolving Notifications Content at Pinterest.
  • Translate the technical strategy for Notifications Content into a concrete engineering roadmap and lead the team’s technical execution towards realizing the vision.

What we’re looking for:

  • 5+ years of hands-on professional experience in designing and building end-to-end large scale candidate retrieval and ranking ML models (e.g. Feed, Search, Ads Recommendations). 
  • 1+ years of experience with developing technical strategy for one or more AI/ML-powered core product teams (e.g. Growth, Search, Ads etc.).
  • Bachelor’s/Master’s degree in a relevant field such as computer science, or equivalent experience.
  • Deep systems level understanding of industry scale recommendation systems.
  • Proficient in programming languages such as Python and building ML models using PyTorch or Tensorflow
  • Excellent track record of collaborating with strong Engineering (EMs, TLs and Senior ICs) and Cross-functional Stakeholders (PMs, Data Scientists, Designers and PMMs) to influence the team’s 6 - 12 month engineering strategy.

 

This position is not eligible for relocation assistance.

#LI-REMOTE

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 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, 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. Apply

Job Profile

Regions

North America

Countries

United States

Restrictions

Not eligible for relocation Not eligible for relocation assistance US based applicants only

Benefits/Perks

Career growth opportunities Equity Flexible work model Inclusive workplace Remote-first company

Tasks
  • Collaborate with cross functional teams
  • Design and build ML components
  • Develop technical strategy
  • Mentor team members
  • Productionize ML models
Skills

Ads AI Collaboration Data analysis Diversity Engineering Equity Execution Machine Learning ML Model productionization Programming Programming languages Python PyTorch Ranking Recommendations Recommendation systems Search Strategy Technical Strategy TensorFlow

Experience

5 years

Education

Bachelor Bachelor's Computer Science Engineering Equivalent experience Legal Machine Learning Master Master's ML Relevant Field

Certifications

CA

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9