Deep Learning Engineer
4 weeks ago
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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