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    Machine learning research engineering - San Francisco, CA, United States - Abs Data

    Abs Data
    Abs Data San Francisco, CA, United States

    2 weeks ago

    Default job background
    Description
    Machine Learning Research Engineering Intern
    The goal of the ML team at Scale is to develop machine learning solutions advancing the company mission. Our current focus areas are computer vision (2D/3D detection, 2D/3D segmentation, object tracking), meta-learning (e.g. semi-supervised learning, active learning), and Natural Language Processing. You'll be working on a combination of deeply technical ML applications in production and cutting edge research problems.

    Working at Scale will give you opportunities to work with our wide customer base which includes leading research teams and exposure to a wide range of problems within machine learning.

    We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. Our machine learning models form the basis for Scale's expansion and future product strategy.


    Example Projects:
    Research and develop machine learning solutions to assist humans in the loop.
    Aid in the creation of high quality ground truth data with speed and accuracy.
    Work with public Large Language models to benchmark and make custom versions for internal use cases.

    Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers.

    Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines.

    Currently enrolled in a PhD or MS Program with a focus on Machine Learning, Deep Learning, Computer Vision with a graduation date in Fall 2024 or Spring 2025
    Experience with one or more general purpose programming languages, including: Python, Javascript, or similar
    Ability to speak and write in English fluently
    Have had a previous internship around Machine Learning, Deep Learning, or Computer Vision
    Experience as a researcher, including internships, full-time, or at a lab
    or contributions to open source projects

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

    Our mission is to make that happen faster across every industry, and our team is transforming how machine learning can build innovative products.

    Our products provide access to human-powered data for hundreds of use cases and are used by industry leaders such as Open AI, Lyft, Meta, GM, Samsung, Airbnb, NVIDIA, and many more.

    We've recently raised $325 million in Series E funding at a valuation of $7B+ and 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.

    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.

    Machine #Learning #Research #Engineering #Intern
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