Senior ML Researcher: Real-Time Cyber Defense at Scale

Petra Security; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Healthcare

Lunch and dinner when in office

401K

Relocation support

Commuting stipend

Equinox discount

Job summary

Petra Security in San Francisco is seeking a senior ML researcher to advance our real-time detection platform. You will design and deploy models that identify account compromise and work closely with stakeholders to ensure the system scales and stays ahead of attackers.

You will talk to customers, understand real-world attacks, and push for high-quality, production-grade solutions that raise the bar for the entire team.

Qualifications

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

Responsibilities

• Build and evolve detection models identifying account compromise in real time.
• Take models from research to production and measure at scale.
• Architect scalable systems to handle 10–100x growth.
• Set patterns and raise quality across the team.

Skills

Quantitative ML research

Production ML deployment

Engineering fundamentals

Real-time data processing

Architect scalable systems

Fast shipping / autonomy

Job description

Petra Security in San Francisco is seeking a senior ML researcher to advance our real-time detection platform. You will design and deploy models that identify account compromise and work closely with stakeholders to ensure the system scales and stays ahead of attackers.

You will talk to customers, understand real-world attacks, and push for high-quality, production-grade solutions that raise the bar for the entire team.