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    Machine Learning Engineer - San Francisco, CA, United States - Fintool [YC]

    Fintool [YC]
    Fintool [YC] San Francisco, CA, United States

    2 weeks ago

    Default job background
    Description
    Fintool is a financial copilot for institutional investors. It's ChatGPT on top of financial documents, starting with SEC filings. Fintool is engineered to discover financial insights beyond the reach of timely human analysis or search software.

    Fintool is backed by Y Combinator and entrepreneurs such as the co-founders of Datadog, Vercel, HuggingFace, or domain experts from OpenAI to Deepmind.

    Nicolas Bustamante (CEO): spent 7 years building one of the largest AI-driven legal search engines (Bloomberg for lawyers). Edouard Godrey (CTO): worked for nine years at Apple, leading teams of data scientists and engineers. He worked on Apple Search (Spotlight) and Apple Pay, maintaining big data pipelines and deploying cutting-edge AI models. He received the 2019 Apple Pay Innovation Award for outstanding contributions and fresh insights.
    Matt DePero (Data Engineer)worked at Google and then at the search engine Neeva (acq. by Snowflake) where he built the crawl-to-index pipeline infra processing petabytes of data.
    When people visit our office, they should be surprised by how few people we are.

    Ship code :
    we avoid meetings, PM jargon to release early, release often, and listen to customers.

    Release early, release often, and listen to your customers : speed matters in business, so we push better-than-perfect updates for customers asap.

    Upholding integrity, valuing honesty, practicing frugality, championing lifelong learning, embracing humility, extending generosity, applying rationality, and demonstrating patience. Your challenge is to develop a high-quality, low-latency retrieval augmented generation (RAG) on top of millions of complex documents. You will lead the implementation of custom embeddings, rankers, and hybrid search.
    Python, Machine Learning (embeddings, ranking, recommendations), LLM, . Knowing Spark, Databricks and Typescript is a plus.


    Location:
    San Francisco (no remote)


    Contract:
    Full-time
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