Staff Software Engineer, Pinterest

Backend, Ads Infrastructure

$200.4-313.2k

+ Equity

Python

Java

C++

MySQL

Spark

PyTorch

Flink

Senior and Expert level

San Francisco Bay Area

More information about location

1 day a week in office

Visual bookmarking tool for saving & discovering creative ideas

Be an early applicant

Visual bookmarking tool for saving & discovering creative ideas

1001+ employees

B2BLifestyleSocialDigital MediaSocial MediaAdvertising

Be an early applicant

$200.4-313.2k

+ Equity

Python

Java

C++

MySQL

Spark

PyTorch

Flink

Senior and Expert level

San Francisco Bay Area

More information about location

1 day a week in office

1001+ employees

B2BLifestyleSocialDigital MediaSocial MediaAdvertising

Company mission

To bring everyone the inspiration to create a life they love.

Job

Company

Role

Who you are

Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience
6+ years of relevant industry experience with distributed systems, transactional datastores, and systems programming
Experience in building and owning large scale high performance infrastructure powering ads, recommendation, search, or other consumer facing applications
Experience solving end-user problems and envisioning solutions to improve their productivity
Proficiency in Java, C++, or Python

What the job involves

We are looking for multiple staff engineers to initiate, design, and build the next-gen version of key infra components in our monetization ecosystem, such as modernizing an end-to-end ML platform serving over hundreds of use cases making billions of predictions per second, and redesigning our catalog ingestion and ads delivery systems to become one of the leading advertising platforms in the world
These roles are exciting, because you will be able to lean on your deep infra knowledge to redesign systems to handle a much bigger scale, while also having the chance to work with very experienced engineers and cross-functional partners
Here are the available teams we are hiring for:
Ads ML Training Infra: Lead and drive efforts of building next-gen ML data and training systems that directly powers up to 100 production models to uplevel Pinterest monetization business
Optimize the ads ML training performance, efficiency and scalability by 10x from infra and model perspectives
Ads API Infra: Responsible for defining technical vision for Pinterest Ads API systems which enables advertiser onboarding and value understanding by advertisers, across the globe, of their 100M+ campaigns in Pinterest Ads systems
Re-architect core catalog, ads indexing and serving infrastructure to achieve greater scalability, freshness, performance, and reliability, using data storage, streaming processing, and information retrieval technologies such as MySQL, TiDB, Flink, and HNSW
Modernize the ML ecosystem for the entire Pinterest Ads product, replacing a hodgepodge of out-of-date ML models with a unified, modern, and privacy-first ML stack with Pytorch, Spark, Iceberg, and GPU based serving
Collaborate with cross-functional teams to define problems and drive solutions
Work with a strong team of engineers and provide technical guidance and mentorship

Our take

Inspiration and ideas can pop into your head at any time, and with the growth of social media and networking, sharing these interests and gaining exposure has never been easier. Pinterest exists to display these moments visually, as a kind of digital pinboard allowing users to save and share digital images which have inspired them.

Pinterest's emphasis on visual discovery has differentiated it from competitors and created a more positive and fulfilling experience for its users. Pinterest in many ways provides a respite from the ceaseless negativity that plagues social media such as Facebook and Twitter, and this is perhaps responsible for its userbase expanding to 450 million users in 2022, driven by uptake mostly outside of North America.

Pinterest has not been immune to woes affecting the global tech sector and made about 5% of its workforce redundant at the end of 2022 and the start of 2023. Having restructured to face a challenging climate, it is well-positioned to resume its growth, which has increased consistently year on year. Its immediate goals are to continue to grow its user base and expand the uptake of its short video product, which it aims to monetize.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

9% employee growth in 12 months

Glassdoor (3.8)

Company

Company HQ

SoMa, San Francisco, CA

Leadership

Ben Silbermann

(CEO)

Worked as a Product Specialist at Google for 2 years before leaving to work on his own apps, which led to founding Pinterest

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