Deep Learning Engineer

4 weeks ago


Los Angeles, United States Skidaway Full time

Company Description We are a stealth mode start-up, leveraging work some of us have done in applying transformer-based models - including BERT - as foundation models used for anti-fraud and cyber security use cases. We are working with some of the largest enterprises and governmental organizations to refine our product focus and model.

Our mission is simple - to protect the digital commons.

Role Description This is a full-time hybrid role for a Data Scientist & Deep Learning Engineer who will be located in the San Francisco Bay Area. The role requires a strong command of machine learning algorithms, especially deep learning, with the ability to apply them to real-world business problems. You'll be responsible for exploring and analyzing complex data sets, building and optimizing machine learning models, and delivering actionable insights.

You will be joining a small team, so your impact will be enormous. You will be on a journey with a very experienced team of successful entrepreneurs.

Qualifications

3+ years of experience in data science, statistics, or a related field Cyber security experience preferred Expertise in Python and associated data science libraries Experience in deep learning model development Transformer based model development preferred Kaggle and similar experience preferred as it shows adaptability and speed OpenSource experience helpful Ability to work independently and as part of a cross-functional team Above average written and verbal communication skills Passionate about building impactful technologies and organizations Master's or PhD degree in Computer Science, Statistics, Mathematics, or a related field

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