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Quantitative Researcher

Isola · San Francisco, CA, US

Spotted 1h agoFull-time

Job details

Work mode
On-site
Employment
Full-time
Level
Mid level
Experience
4+ years
Education
PhD
Posted
Oct 14, 2026
Last confirmed open
Oct 14, 2026
Job description

About this role

Quantitative Researcher – Detection & Machine Learning

Location: On Site 5 days per week- San Francisco, California

Job Type: Full-Time

About the Role

We are seeking a Quantitative Researcher to lead the core detection research and machine learning models powering our security platform. You will take full end-to-end ownership of designing, training, and deploying models that identify complex threat vectors in real time, directly driving our product’s competitive edge.

What You’ll Do

  • Design & Deploy Core Models: Architect, train, and ship production ML models that detect account compromise and adversarial activity at scale.
  • Bridge Research & Production: Transition quantitative models from notebook experimentation to live, high-throughput streaming systems under real-world attack conditions.
  • Architect for Scale: Build resilient data and feature architecture capable of supporting 10–100x traffic growth.
  • Technical Ownership: Work closely with founding leadership to discover novel signals, set engineering standards, and elevate technical quality across the organization.

Requirements

  • 4+ years of experience in quantitative or ML research, with a proven track record of shipping production models at scale.
  • BS, MS or PhD in Computer Science,​ Statistics,​ Math,​ or quantitative field from top US program
  • Quantitative Mastery: Deep foundation in probability, statistics, linear algebra, linear/non-linear modeling, and NLP.
  • Production ML & Engineering Skills: Expert at selecting model architectures and navigating trade-offs. Writes clean, production-grade code (Python, TypeScript/Node stack) and owns systems end-to-end.
  • Data Systems Infrastructure: Practical experience with real-time/streaming pipelines, feature stores, high-performance databases, and distributed systems.
  • High Agency & Output: Self-directed operator who identifies problems, executes solutions rapidly, and thrives in an autonomous, small-team environment.
  • Plus: Domain background in quantitative finance, fraud detection, or cybersecurity.

What We Offer

  • Competitive compensation (Base Salary + Equity) - $200k-250k base (negotiable for more experienced candidates)
  • Comprehensive medical, dental, and vision coverage
  • Visa Sponsorship available (H1b, OPT, TN)
  • Relocation assistance available

Pay: $200,000.00 - $250,000.00 per year

Benefits:

  • Dental insurance
  • Health insurance
  • Paid time off
  • Relocation assistance
  • Wellness program

Work Location: In person

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