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Pinterest · 1 day ago

Distinguished Machine Learning Engineer, Monetization

New York, NY

Full-time

Hybrid

Lead/Staff

$347K/yr - $608K/yr

15+ years exp

Pinterest is a platform that inspires creativity and planning for lasting memories. As a Distinguished Machine Learning Engineer, you will develop and execute a vision for the machine learning technology stack focused on monetization, tackling challenges in machine learning and deep learning to enhance ad performance and delivery.

InternetSocial BookmarkingSocial MediaSocial NetworkSoftware

Comp. & Benefits

No H1B

Responsibilities

Lead user-facing projects that involve end-to-end engineering development in both frontend and backend and ML

Improve relevance and increase long term value for Pinners, Partners, Creators, and Pinterest through efficient Ads Delivery

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

Collaborate with product managers and designers to develop engineering solutions for user-facing product improvements

Collaborate with other engineering teams (infra, user modeling, content understanding) to leverage their platforms and signals

Champion engineering excellence and a data driven culture, mentor senior tech talent and represent Pinterest externally in the tech and AI communities

Qualification

Machine LearningLarge-scale Data ProcessingObject-oriented ProgrammingStatistical MethodsCross-functional CollaborationProject ManagementE-commerce SystemsComputational AdvertisingSoftware Engineering

Required

Degree in computer science, machine learning, statistics, or a related field

15+ years of working experience in engineering teams that build large-scale, ML‑driven, user‑facing products

Experience leading cross‑team engineering efforts that improve user experience in products

Understanding of an object‑oriented programming language such as Go, Java, C++, or Python

Experience with large‑scale data processing (e.g., Hive, Scalding, Spark, Hadoop, MapReduce)

Strong software engineering and mathematical skills, with knowledge of statistical methods

Experience working across frontend, backend, and ML systems for large‑scale user‑facing products, with a good understanding of how they all work together

Hands‑on experience with large‑scale online e‑commerce systems

Excellent cross‑functional collaboration and stakeholder communication skills, with strong execution in project management