Senior ML Researcher — Real-Time Cyber Defense

Petra Security; San Francisco (CA); On-site; USD 180,000 - 320,000; Full time

Benefits offered by this job

Equity

Healthcare

Lunch and dinner in the office

401K

Commuting stipend

Relocation support

Equinox discount

Job summary

Petra Security in San Francisco is seeking a senior ML researcher to own detection research, design and deploy real-time models that identify account compromises and defend customers. You will work closely with the CTO and Head of ML to translate research into production systems.

This role requires deep quantitative skills, hands-on engineering, and the autonomy to ship fast in a small team. You will tackle scale challenges, build robust pipelines, and raise the technical bar while talking to

Qualifications

• 5+ years of quantitative or ML research experience.
• Experience designing, training, evaluating, and shipping models in production systems at scale.
• Strong fundamentals: probability, statistics, linear algebra, NLP.
• Experience deploying models in production and scaling.
• Strong engineering fundamentals and production-grade code.
• Experience with real-time or streaming data pipelines and distributed systems.

Responsibilities

• Build and evolve our detection models; design and build ML models that identify account compromise in real time.
• Take models from research to production and measure their behavior at scale in a live system.
• Architect for scale to handle 10-100x growth in 6 months.
• Raise the technical bar by establishing patterns and ensuring code quality across the team.

Skills

ML research

Production ML

Real-time data

Engineering fundamentals

Distributed systems

Autonomy

High output

Fast learner

Tools

Python

Node.js

TypeScript

React

Job description

Petra Security in San Francisco is seeking a senior ML researcher to own detection research, design and deploy real-time models that identify account compromises and defend customers. You will work closely with the CTO and Head of ML to translate research into production systems.

This role requires deep quantitative skills, hands-on engineering, and the autonomy to ship fast in a small team. You will tackle scale challenges, build robust pipelines, and raise the technical bar while talking to