Offer summary

Qualifications:

Bachelor's degree in computer science or related field., 7+ years of experience with recommender systems or user modeling., Proficiency in Python and Java programming languages., Experience with deep learning frameworks like PyTorch and TensorFlow..

Key responsibilities:

Improve relevance and user experience on Homefeed.

Work on large-scale machine learning projects and data processing pipelines.

Enhance system efficiency, latency, and reliability of ML inference pipelines.

Collaborate with product teams to ship ML-driven user-facing products.

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.

Pinterest helps Pinners discover and do what they love. Homefeed is literally the first surface Pinners see when they open the app and so it forms the frontandcenter of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team’s mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive crossteam engineering efforts for shipping MLdriven product experiences to our pinners. Youll have the opportunity to work on various innovative projects of new product experiences, build largescale lowlatency systems and stateoftheart machine learning models, and deliver great impact to our pinners and business metrics.

What youll do:

Improve relevance and the user experience on Homefeed

Work on stateoftheart largescale applied machine learning projects

Improve the efficiency and reliability of largescale data processing and ML inference pipeline

Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost

What were looking for:

Languages: Python, Java

Machine Learning: PyTorch, Tensorflow

Big data processing: Spark, Hive, MapReduce

7+ years experience with Recommender system or User modeling, implementing production ML systems at scale

7+ years experience with large scale distributed backend service

Experience in working in Deep learning and Generative AI models

Experience in closely collaborating with product managers designers to ship MLdriven userfacing product

Bachelors in computer science or equivalent experience

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

InOffice Requirement Statement:

We let the type of work you do guide the collaboration style. That means were not always working in an office, but we continue to gather for key moments of collaboration and connection.

This role will need to be in the office for inperson collaboration 12 timesquarter and therefore can be situated anywhere in the country.

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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.