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.

Data and feature engineering sets the foundation for Pinterest to bring continuous inspiration to Pinners. The ML Feature Infrastructure team focuses on data processing, feature generation and relevant infrastructure and tooling. We are seeking a Staff Software Engineer to lead the team to improve the data infrastructure to enable teams across Pinterest to develop, consume, experiment, and monitor ML features rapidly and at scale.

What you’ll do

Own and improve data processing infrastructure and key pipelines, for efficient and reliable feature generation, content ingestion and candidate generator indexing.
Manage a portfolio of data products that deliver high-quality, trustworthy datasets / features.
Collaborate with product and engineering teams to understand and incorporate changing requirements into the development roadmap.
Mentor junior engineers and provide technical leadership..
Drive the technical vision for the team, work closely with the engineering leadership to define technical strategies and roadmaps

What we’re looking for:

BS+ degree in a relevant field such as Computer Science, or equivalent experience.
8+ years of professional experience as a hands-on engineer and technical leader leading multiple projects.
6+ years experience working in data / feature platform or a similar role
Solid technical knowledge and hands-on experience in data processing frameworks, either batch (Spark, Presto, etc.) or streaming (Flink, Kafka, etc.); working experience with other commonly used tools in the big data ecosystem: resource manager (Yarn, K8S), configuration management (zookeeper), job scheduler (Airflow, Dagster), etc.
Knowledge on ML feature infrastructure and / or tooling.
Excellent communication skills and cross-team collaboration experience.

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.

This role will need to be in the office for in-person collaboration 1-2 times every 6 months and therefore can be situated anywhere in the country.

Relocation Statement:

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

#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

$170,371—$350,763 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.

Staff Software Engineer

ML Feature Infra

Pinterest

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