Adversarial Machine Learning Engineer - Red Teaming
Tasks
- Collaborate with guardrails and AI red teaming teams
- Conduct adversarial testing for models and applications
- Evaluate dangerous capability and API abuse
- Execute prompt injection and evasion attacks
- Implement data poisoning and model inversion testing
- Map findings to OWASP Top 10 for LLM Applications
- Perform multi turn jailbreaks and guardrail bypass
- Provide severity ranked remediation guidance
- Retest fixes to confirm mitigation effectiveness
- Turn anomalies into reproducible vulnerabilities
Perks/Benefits
Skills/Tech-stack
Adversarial Robustness | Adversarial Robustness Toolbox | Adversarial Training | Adversarial examples | Benchmarking | CleverHans | Data poisoning | Deployment Pipelines | Differential Privacy | Domain Adaptation | Experiment tracking | Fine Tuning | Foolbox | Hugging Face | Hugging Face Transformers | Input Sanitization | Instruction Tuning | Jailbreak testing | Language Models | Linear Algebra | LoRA | MLOps | Membership inference | Model extraction | Model versioning | Optimization | PEFT | Probability | Prompt injection | PyTorch | Python | QLoRA | Secure deployment | Secure deployment pipelines | Small Language Models | Statistics | TensorFlow | Threat modeling
Education
N/A
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