Related skills
cybersecurity python tensorflow pytorch machine learning📋 Description
- Design mitigation components for model-enabled cybersecurity misuse.
- Integrate safeguards across product surfaces with product/engineering.
- Evaluate trade-offs in coverage, latency, utility, and privacy.
- Collaborate with risk/threat modeling to align mitigation design.
- Execute red-teaming and testing; iterate mitigations.
- Work with cross-functional teams to ensure scalable protections.
🎯 Requirements
- AI safety focus and motivation.
- Experience with deep learning and transformers.
- Proficient in PyTorch or TensorFlow.
- Strong data structures, algorithms and software engineering.
- Experience with LLM training: distillation, fine-tuning, policy optimization.
- Collaborative across research, security, policy, product, and engineering.
- Designing and deploying safeguards at scale for abuse prevention/detection.
- Nice to have cybersecurity background.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!