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    Manager, Machine Learning Engineering, Generative ML Platform - Los Angeles, United States - Snap Inc.

    Snap Inc.
    Snap Inc. Los Angeles, United States

    2 weeks ago

    Default job background
    Full time
    Description

    Snap Inc. is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles .
    Snapchat is a camera and messaging app that connects people to their friends and the world. Every day around the globe, millions of people use Snapchat to communicate with friends, build relationships, play, and learn. No matter where you are or how you express yourself, it's always the fastest way to share a moment
    We're looking for a Machine Learning Manager to join our Generative ML Platform team
    What you'll do:

    • Drive the technical and organizational roadmap for the engineering team
    • Lead and grow a team of exceptional machine learning engineers
    • Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions
    • Develop deep architectures and optimization techniques for cutting-edge solutions
    • Create products that are used by millions of Snapchatters
    • Learn new techniques and stay on the cutting edge of machine learning technology
    • Design and implement machine learning and computer vision solutions to be used by millions of Snapchatters
    • Introduce major innovations that can lead to new product features or new areas of business
    • Partner with cross functional Snap teams to explore, prototype, and ship new features


    Knowledge, Skills & Abilities:

    • Up-to-date with the latest research in machine learning and computer vision
    • Knowledge of mathematics and deep learning foundations
    • Knowledge of basic computer vision algorithms
    • Strong computer science fundamentals
    • Strong communication, presentation, and interpersonal skills
    • Ability to lead and represent the team's goals and projects with cross-functional business partners and leaders


    Minimum qualifications:

    • BS in a technical field such as computer science or equivalent years of experience
    • 8+ years of machine learning experience
    • 2+ years of experience managing a team and technical leadership
    • Research or engineering experience with generative models (e.g. diffusion models, GANs, VAE, etc.)


    Preferred qualifications:

    • Master's degree or PhD in a related technical field
    • Strong track record of leading machine learning projects
    • Experience developing real-time software for mobile applications
    • Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.
    • Excitement about Snapchat and our products


    "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.
    At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. If you have a disability or special need that requires accommodation, please don't be shy and contact us at accommodations-
    Our Benefits : Snap Inc. is its own community, so we've got your back We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success
    Compensation
    In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These pay zones may be modified in the future.
    Zone A (CA, WA, NYC) :
    The base salary range for this position is $222,000-$333,000 annually.
    Zone B :
    The base salary range for this position is $211,000-$316,000 annually.
    Zone C :
    The base salary range for this position is $189,000-$283,000 annually.
    This position is eligible for equity in the form of RSUs.

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