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    Research Machine Learning Engineer - Washington DC, United States - Scale AI

    Scale AI
    Scale AI Washington DC, United States

    4 weeks ago

    Default job background
    Description

    The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve Scale's products and customer experience.

    Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.
    We are building a large hybrid human-machine system in service of ML pipelines for Federal Government customers.

    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
    Build the scalable ML platform to automate our ML service
    Be a representative for how to apply machine learning and related techniques throughout the engineering and product organization
    US Government Security Clearance is a requirement (TS/SCI preferred)
    Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment
    Solid background in algorithms, data structures, and object-oriented programming
    Strong programing skills in Python or Javascript, experience in Tensorflow or PyTorch
    Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization
    Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
    The base salary range for this full-time position in Washington DC, is $200,800 - $240,960.

    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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