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Security Engineer, Detection & Response

Thinking Machines Lab · San Francisco

Frontier labonsite$300k–$350k
Apply on the lab’s site ↗

At a glance

Highlights

  • Lead incident response end-to-end from triage to blameless postmortems.
  • Build threat intel practice focused on adversaries targeting frontier AI labs.
  • Partner with research and product teams to detect AI-specific threats.

What they offer

  • Generous health, dental, and vision benefits
  • Unlimited PTO
  • Paid parental leave
  • Relocation support as needed

Ideal candidate

Seasoned incident responder who thrives under pressure and owns problems end-to-end. You care about defending frontier AI and turning lessons and intel into stronger defenses.

Requirements

  • Bachelor's degree or equivalent experience in computer science, engineering, or similar
  • Proficiency in Python or Rust for building data pipelines, detections, and internal tools
  • Track record responding to real security incidents in production, leading investigations under pressure
  • Hands-on experience building and operating security data pipelines at scale including SIEM or data lake
  • Experience producing and consuming threat intelligence and mapping adversary TTPs to MITRE ATT&CK
  • Strong understanding of cloud (AWS, GCP, or Azure), Kubernetes, and identity provider telemetry
  • Familiarity with host and network forensics including endpoint, memory, disk, and network logs
  • Comfort operating across the stack and owning projects end-to-end
  • Clear communication for incident reports, intel briefs, and postmortems
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Lab profile

About Thinking Machines Lab

Builds frontier AI that extends human will and judgment through customizable models and interfaces.

What they build

  • Inkling frontier models
  • Tinker model customization
  • Human-AI communication interfaces

Known for

  • Frontier model training
  • Post-training and reinforcement learning
  • Evaluation infrastructure
  • GPU supercomputing and reliability
More about Thinking Machines Lab →
Apply on the lab’s site ↗

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