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    SEAL Research Scientist/ Research Engineer - San Francisco, CA, United States - Scale AI, Inc.

    Scale AI, Inc.
    Scale AI, Inc. San Francisco, CA, United States

    2 weeks ago

    Default job background
    Description

    As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding large language models (LLMs).

    is Scale's new frontier research effort dedicated to building robust evaluation products and tackling the challenging research problems in evaluation and red teaming.

    We support collaborations across the industry and the publication of our research findings.

    Below is a list of SEAL's representative projects:
    Research and implement cutting-edge model assisted red teaming methods.
    Develop state of the art LLM based automated rating systems leveraging the Scale ecosystem for customized training data.
    Develop rater assist techniques such as critique modeling for improving rating quality.
    Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry.
    Practical experience conducting technical research collaboratively, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes.
    A track record of published research in machine learning, particularly in generative AI.

    At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development.

    Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax.
    Experience in crafting evaluations or a background in data science roles related to LLM technologies.
    Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.

    Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture.

    The base salary range for this full-time position at Scale AI in San Francisco, New York, or Seattle, is $200,000 - $370,000.

    The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

    Scale employees are also granted Stock Options that are awarded upon board of director approval. Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

    At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time.

    Our products power the world's most advanced LLMs, generative models, and computer vision models.

    We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.We are expanding our team to accelerate the development of AI applications.

    We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

    We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

    If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at .


    PLEASE NOTE:

    We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates.

    We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws.

    Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

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