Staff/Senior Quantitative Researcher

About the role

On-site quantitative/ML research role at a cybersecurity startup building real-time account-compromise detection models and production systems. Requires 5+ years research with production models, strong statistical foundations, Python, streaming data and distributed systems. No visa sponsorship or citizenship terms are stated.

Requirements

• 5+ years quantitative/ML research with model design, training, evaluation and production deployment at scale
• Strong probability, statistics, linear algebra, linear/nonlinear modeling and NLP
• Production-grade engineering and end-to-end ownership
• Real-time/streaming pipelines, feature stores, high-performance databases and distributed systems
• High agency and comfort in small, autonomous teams

What you'll do

• Build real-time ML models detecting account compromise
• Take models from research through production and measure behavior at scale
• Architect systems for rapid growth
• Work with customers to identify emerging attack signals
• Raise technical standards and shape ML practices

Where this was posted

• LinkedIn

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