Adversarial Machine Learning Engineer - Red Teaming
United States - Remote
R
A USD 152K-211K (estimate) Mid-level Full Time
Tasks
- Carry out data poisoning model inversion and membership inference
- Conduct adversarial testing across model application agent and data pipeline
- Evaluate dangerous capability and API abuse
- Execute prompt injection and agent tool chain misuse testing
- Fine tune and train machine learning models and small language models for security
- Map severity findings to OWASP Top 10 for LLM applications and NIST AI Risk Management Framework
- Perform multi turn jailbreaks and guardrail bypass
- Provide remediation guidance and run retests to confirm fixes
- Turn red team findings into reproducible vulnerability reports
Perks/Benefits
Skills/Tech-stack
Adversarial Robustness | Adversarial Robustness Toolbox | Adversarial Training | Adversarial examples | 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 | Linear Algebra | LoRA | MLOps | Membership inference | Model extraction | Model versioning | Optimization | PEFT | Probability | Prompt injection | PyTorch | Python | QLoRA | Red Teaming | Robust Fine Tuning | Safety evaluation | Secure deployment | Secure deployment pipelines | Statistics | TensorFlow | Threat modeling
Education
N/A
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