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    Machine Learning Engineer - San Francisco, CA, United States - Text Blaze

    Text Blaze
    Text Blaze San Francisco, CA, United States

    2 weeks ago

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    Description

    [Full Time] Machine Learning Engineer - Large Language Models at Text Blaze (United States) | BEAMSTART Jobs

    Machine Learning Engineer - Large Language Models

    Text Blaze United States

    Date Posted

    28 Apr, 2023

    Work Location

    San Francisco, United States

    Salary Offered

    $80000 — $150000 yearly

    Job Type

    Full Time

    Experience Required

    3+ years

    Remote Work

    Yes

    Stock Options

    Yes

    Vacancies

    1 available

    We are looking for a talented Machine Learning Engineer with interest in training large language models to join our innovative and fast-paced team. In this role, you will work on cutting-edge NLP projects and play a crucial part in developing and refining our productivity tools. If you are passionate about machine learning, have a strong background in natural language processing, and thrive in a collaborative and high-impact environment, we'd love to hear from you

    Responsibilities:

    • Fine tune large language models that can generate high-quality text to solve domain specific needs.
    • Implement end-to-end machine learning pipelines, including data preprocessing, model training, evaluation, and deployment.
    • Continuously research and stay up-to-date with recent advancements in NLP and large language models, applying novel techniques and methodologies to improve our models.
    • Conduct experiments and benchmarking to assess the performance of various model architectures and optimize hyperparameters.
    • Troubleshoot and resolve any issues arising during model training and deployment.

    Qualifications:

    • Bachelors or Masters in Computer Science, Mathematics, or a related field with a focus on machine learning and NLP.
    • Hands-on experience working with large language models like GPT, LLAMA, BERT, or Transformer-based architectures.
    • Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
    • Strong knowledge of NLP techniques, including tokenization, language modeling, and embeddings.
    • Experience with distributed training and optimization techniques for large-scale machine learning models.
    • Solid understanding of cloud platforms (e.g., GCP (preferred), AWS) and their machine learning offerings.
    • Strong analytical and problem-solving skills, with the ability to think creatively and propose innovative solutions.
    • Excellent communication skills and the ability to collaborate effectively in a cross-functional team.

    About Text Blaze Slash commands anywhere

    Company Size: People Year Founded: 2019 Country: United States Company Status: Actively Hiring Looking for Partners Looking for Clients Raising Funds

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