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    Staff Software Engineer, ML Serving Platform - San Francisco, United States - Pinterest

    Pinterest
    Pinterest San Francisco, United States

    3 weeks ago

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    OTHER
    Description

    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.

    The ML Platform team provides foundational tools and infrastructure used by hundreds of ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that ML systems are healthy (production-grade quality) and fast (for modelers to iterate upon).

    We are seeking a highly skilled and experienced Staff Software Engineer to join our ML Serving team and lead the technical strategy. The ML Serving team builds large scale online systems and tools for model inference, deployment, monitoring and feature fetching/logging. ML workloads are increasingly large, complex, interdependent and the efficient use of ML accelerators is critical to our success. We work on various efforts related to adoption, efficiency, performance, algorithms, UX and core infrastructure to enable the scheduling of ML workloads.

    You'll be part of the ML Platform team in Data Engineering, which aims to ensure healthy and fast ML in all of the 40+ ML use cases across Pinterest.

    What you'll do:

    • Design and build large-scale, reliable and efficient ML serving systems for model inference, deployment monitoring and feature logging.
    • Improve the productivity and iteration speed of ML engineers and data scientists.
    • Projects may include: high-performance inference engine with GPUs and hardware accelerators; ML monitoring and observability solutions.
    • Work extensively with ML engineers across Pinterest to understand their requirements, pain points, and build generalized solutions. Also work with partner teams to drive projects requiring cross-team coordination.
    • Provide technical guidance and coaching to more junior engineers in the team.

    What we're looking for:

    • Hands-on experience building large-scale ML use cases and systems in production, preferably expertise in SoTA ML inference technologies and optimizations.
    • Strong understanding of ML systems especially around scalability and efficiency.
    • Flexibility to work across different areas: online systems, model optimization, infrastructure optimization, data processing pipelines, etc.
    • Fluency in Python and C++, familiarity with at least one common ML framework.
    • Experience with GPU programming, containerization, orchestration technologies is a plus.

    Relocation Statement:

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

    #LI-REMOTE

    #LI-AH2

    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$148,049—$304,496 USD

    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 for support.

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