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    Member of Technical Staff: Machine Learning - San Francisco, United States - Acceler8 Talent

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    Technology / Internet
    Description

    Member of Technical Staff: Machine Learning

    Introduction As a Member of Technical Staff specializing in Machine Learning, you have the opportunity to join a pioneering team dedicated to enhancing the interplay between humans and AI technology. Our vision focuses on integrating cutting-edge ML techniques to optimize user interactions across various platforms, ensuring the most efficient use of computational resources.

    About the Company We are a well-capitalized tech innovator, buoyed by significant investments from top-tier venture firms and industry giants in technology. Our ethos is built on the belief that a small, agile team can drive monumental advancements in technology. By focusing on solving practical, real-world AI challenges, we aim to propel the efficiency and utility of end-user experiences to new heights, fostering a productive environment for technological creativity and innovation.

    About the Role In your role as Member of Technical Staff, you will be at the forefront of our research initiatives, leading efforts to enhance the real-world applicability of our machine learning models. Collaboration with product teams will be crucial to bridge the gap between research insights and product development, helping to identify and fill capability voids and track advancements effectively.

    What We Can Offer You

    • Competitive salary and comprehensive benefits package
    • Relocation assistance for qualifying candidates
    • Dynamic and supportive work environment
    • Opportunities for personal and professional growth
    • Access to cutting-edge tools and technologies
    • Collaboration with industry-leading experts

    Key Responsibilities

    • Lead and contribute to the development of innovative ML research projects
    • Work closely with product teams to integrate research findings
    • Identify new research opportunities and capability gaps in existing models
    • Evaluate the impact of research on product performance and user experience
    • Foster an environment of collaboration and continuous learning within the team

    This opportunity as a Member of Technical Staff is designed for those who not only have a robust background in machine learning but are also passionate about applying their skills to solve complex, real-world problems in innovative ways. We are excited to see how your expertise can contribute to our continuing success and leadership in the tech industry.

    Relevant Keywords In the pursuit of advancing our mission, we focus on machine learning, large language models, Megatron, DeepSpeed, MaxText, data engineering, optimization, problem solving, collaboration, and innovation.



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