Member of Technical Staff - Research

Patronus AI
San Francisco
Workplace: OnsiteFull timeUSD 175,000 - 300,000 annuallyFunction: Research & Scientific (R&D)Education: mastersSkills: ["Problem-solving","Communication","Independent execution","Integrity","Cross-functional collaboration"]

Drive foundational research on agentic AI systems, shaping how they’re trained, evaluated, and improved. Own projects end-to-end—from framing open-ended problems and designing experiments to analysis and measurable production impact. Build simulation and reinforcement learning environments, advance reward design and agent behavior methods across long-horizon tasks, and translate findings into benchmarks, datasets, and production-level, reproducible code.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Patronus AI
Patronus AI
11 hours ago

Member of Technical Staff - Research

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Drive foundational research on agentic AI systems, shaping how they’re trained, evaluated, and improved. Own projects end-to-end—from framing open-ended problems and designing experiments to analysis and measurable production impact. Build simulation and reinforcement learning environments, advance reward design and agent behavior methods across long-horizon tasks, and translate findings into benchmarks, datasets, and production-level, reproducible code.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Own ambitious research projects end-to-end, from problem formulation through experiment design, execution, analysis, and production impact.
  • •Advance research in agent simulation, reinforcement learning, and scalable oversight, including agent cognition, behavior analysis, reward design, and training methods.
  • •Design simulation and RL environments for training and evaluating frontier agents, spanning tools/actions, observations/state, trajectories, curricula, and reward systems.
  • •Develop methods to understand and improve agent behavior on complex, long-horizon tasks, including reasoning, planning, adaptation, generalization, and reward hacking.
  • •Build high-quality, reproducible research systems by writing production-level code and partnering with engineering and product to translate research into real-world systems.

Pay and Benefits

Salary: USD 175,000 - 300,000 annually
Equity and Bonus:Equity
Perks:Paid LeaveParental LeaveHealth InsuranceDentalVision401kMeal StipendWellness Stipend

Key Requirements

  • •MS or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field.
  • •Experience conducting independent research in reinforcement learning, NLP, agentic systems, evaluation, alignment, or related areas.
  • •Ability to take open-ended research problems from 0→1 and deliver high-impact outcomes.
  • •Strong experimental skills, including experiment design, analysis, and interpretation of results.
  • •Experience writing clean, reproducible research code in Python and modern machine learning frameworks.
Experience:Reinforcement learningNLPAgentic systemsAI evaluationAI alignmentFrontier models
Education:Master's
Skills:Problem-solvingCommunicationIndependent executionIntegrityCross-functional collaboration
Languages:English
Tech Stack:Python

Company Brief

Patronus AI
Develops AI-driven cybersecurity agents that automate threat detection, investigation, and response for security operations teams, using autonomous workflows and contextual analysis to reduce incident response time and operational burden.
Industry: Cybersecurity
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: San Francisco, United States
Founded: 2022
WebsiteLinkedIn