Sr. Machine Learning Engineer, Signal Lifecycle at Pinterest

Toronto, Canada

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.

We build components that play a key role in the model lifecycle. Active Learning reinforces signal performance on optimal training data. Streaming and batch signal delivery components improve signal integration across all of the user facing surfaces at Pinterest. The team works on key company objectives and is responsible for key metrics. To scale our systems we leverage Spark, Flink, and low-latency model serving infrastructure.

What you’ll do:

Architect and develop systems, data pipelines, tools that accelerate model life cycle
Collaborate with signal owners during conceptualization and productionization of signal
Work with infrastructure and platform teams to build the right set of tools and APIs to support signal hosting and delivery
Collaborate with signal consuming teams to facilitate signal adoption

What we’re looking for:

3+/5+ years of industry experience
Expertise in at least one of the generic programming languages (Java/Scala/C++/Python/).
Expertise with machine learning model lifecycle
Hands-on experience in building and debugging scalable backend services and APIs.
Hands-on experience with large-scale distributed systems (distributed storage systems, stream processing, inference, and deployment at scale).
Strong ability to work cross-functionally and with partner engineering teams

Nice to have:

M.S. or PhD in Machine Learning or related areas
Publications at top ML conferences
Expertise in scalable realtime systems that process stream data
Passion for applied ML and the Pinterest product

This position is not eligible for relocation assistance.

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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, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify [email protected] for support.

Pinterest is hiring a

Sr. Machine Learning Engineer, Signal Lifecycle

This job is no longer available