A San Francisco-based AI firm specializing in cybersecurity threat detection
Quantitative Researcher, Cybersecurity
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In your first year, you'll spearhead the development of new algorithms to identify and mitigate email-based and account takeover threats, enabling businesses to pre-emptively safeguard their communications. You'll collaborate closely with software engineers to ensure that your machine learning models are both effective and deployable, delivering AI solutions aimed specifically at business-focused security threats. Your contributions here are not just thankless lines of code; you'll have a tangible impact as your models help prevent real-world fraud and data breaches.
What they're looking for
- 4+ years' industry experience in Machine Learning Engineering, Data Science, or Applied Science
- Proficiency in programming languages such as Python, C/C++, Rust, and NodeJS
- Experience building and deploying machine learning models in a production environment
- Expertise in TypeScript and React, and strong Git practices
- Excellent problem-solving skills