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Menlo Park

    Research Engineer - Menlo Park, United States - Character AI

    Character AI
    Character AI Menlo Park, United States

    3 weeks ago

    Default job background
    Description
    About the role


    We are looking for people with solid engineering and machine learning skills to drive the research required for pushing the boundaries of artificial intelligence.


    Requirements:

    • 5+ years' experience with deep learning frameworks like Pytorch, Tensorflow, Jax
    • Deep understanding of the "whole stack" when it comes to designing, training, evaluating and deploying machine learning models, especially large language models
    • Demonstrated track record of successfully owning research projects from start to finish
    • Experience with generative models for various modalities
    • Experience writing GPU kernels using CUDA or Triton.
    Join our visionary team, on-site 3-5 days a week, at the forefront of next-generation AGI.

    About Character.

    AI


    Founded in 2021 by
    AIpioneers Noam Shazeer and Daniel De Freitas, Character is a leading
    AIcompany offering personalized experiences through customizable
    AI'Characters.' As one of the most widely used
    AIplatforms worldwide, Character enables users to interact with
    AItailored to their unique needs and preferences.


    In just two years, we achieved unicorn status and were named Google Play's
    AIApp of the Year - a testament to our groundbreaking technology and vision.

    Noam co-invented core LLM tech and was recently honored as one of TIME's 100 Most Influential in AI. Daniel created LaMDA, the breakthrough conversational
    AInow powering Google's Bard.

    Ready to shape the future of AGI?

    At Character, we value diversity and welcome applicants from all backgrounds.

    As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability.

    Your unique perspectives are vital to our success.
    #J-18808-Ljbffr
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