ML Research Intern

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    Samaya AI

    11-50 employeesMountain View, California, United StatesSoftware Development
    Actively hiringPaidVisa sponsorshiprollingSoftware Development
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    Best applied by Sep 24

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    About the role#

    We are looking for a Machine Learning Research Intern to join our engineering team. You will focus on original research in Natural Language Processing and Machine Learning. The goal is to produce work suitable for publication in top-tier conferences. You will work closely with our researchers to improve AI agents that assist financial professionals with complex, knowledge-based tasks.

    What you'll do#

    • Conduct original research in LLM training, evaluation, RAG, RL, and AI agents.
    • Develop and test new models, algorithms, and methodologies to improve the performance of AI agents in real-world scenarios.
    • Collaborate with our internal team to design, implement, and evaluate novel methods that align with our mission.
    • Present your findings through internal technical talks and external research papers.

    What you'll need#

    • Current enrollment in a PhD or Master’s degree program in Computer Science, Machine Learning, NLP, or a related field.
    • A strong background in deep learning, large language models, and NLP techniques.
    • Proficiency in Python and deep learning frameworks like PyTorch or Transformers.
    • Strong coding skills.
    • A track record of first-author publications in major AI or NLP conferences such as NeurIPS, ICML, ACL, or EMNLP.
    • Domain knowledge in RAG, RL, and AI agent training is a plus.

    Location & details#

    • Location: Mountain View, California, United States.
    • Modality: On-site.
    • This is a full-time, paid internship with rolling start dates.
    • Visa sponsorship is available for this role.
    Relevant fieldsComputer Science

    About Samaya AI

    Samaya AI is a software development company. It creates tools and solutions for domain experts. The business focuses on artificial intelligence and natural language processing. It currently employs between 11 and 50 people.

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