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Staff Security Software Engineer, AI Security

Databricks

Location
US
Workplace
Remote
Employment
Full Time
Salary
—
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Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

  • Lead AI red team engagements against production AI systems
  • Design and execute adversarial attack scenarios
  • Develop proof-of-concept exploits for AI-specific vulnerability classes
  • Contribute to the evolution of the Databricks AI Security Framework
  • Lead comprehensive security architecture reviews for complex AI features
  • Partner directly with AI and ML engineering teams to identify security risks
  • Assess and drive resolution of cross-cutting AI security risks
  • Identify recurring security patterns across AI features
  • Design and build automated AI security testing tooling
  • Build AI-assisted automation that scales security reviews
  • Develop and maintain security guardrails and enforcement mechanisms
  • Set technical standards for how AI security risks are assessed
  • Drive cross-team remediation for significant AI security findings
  • Produce high-quality threat models, security advisories, and post-mortems
  • Mentor engineers on the AI Security team
  • Contribute to internal knowledge assets
  • Represent Databricks in the external AI security community

Requirements

  • 7–10 years of combined experience in offensive security, AI/ML security research, or product security engineering
  • Demonstrated leadership in securing complex systems
  • Subject matter expert in at least two AI security domains
  • Demonstrated ability to design and execute adversarial attacks against production AI systems
  • Deep understanding of AI/ML platform architecture
  • Expert in at least one major cloud platform (AWS, Azure, GCP)
  • Proficient in Python
  • Able to read and analyze ML model code, training scripts, and API serving code
  • Working knowledge of at least one additional language (Go, Java, Scala, Rust)
  • Track record of driving cross-team AI security improvements
  • Influencing product architecture decisions
  • Experience building automated security tooling for AI systems
  • Strong communicator
  • Pragmatic approach to risk

Preferred

  • Published research on AI/ML security topics or experience presenting at AI security venues
  • Experience with OWASP Top 10 for LLMs, MITRE ATLAS, or similar AI security frameworks
  • Familiarity with MLflow, Unity Catalog, Delta Lake, or Databricks platform internals
  • OSCP or equivalent offensive security certification
  • Academic or research background in machine learning, adversarial ML, or AI safety

Skills

  • Python
  • Go
  • Java
  • Scala
  • Rust
  • AWS
  • Azure
  • GCP
  • MLflow
  • Unity Catalog
  • Delta Lake
  • Apache Spark
  • LLM
  • Generative AI
  • Prompt Injection
  • Jailbreaking
  • Model Serving
  • RAG
  • MCP
  • OWASP Top 10 for LLMs
  • MITRE ATLAS

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