
AI Safety Specialist
3 days ago
Role Overview
We are seeking a skilled AI Safety Specialist to join our team. The ideal candidate will have expertise in designing and building guardrails for large language model (LLM) prompt injection protection, toxicity/bias detection, and hallucination/jailbreak identification.
Key Responsibilities:
- Design and implement robust evaluation frameworks to monitor LLM safety, fairness, and compliance.
- Maintain pipelines to process, tag, and evaluate LLM outputs using Python and SQL.
- Leverage vector databases and embeddings to detect unsafe content or model drift.
- Create internal dashboards and visualizations for proof-of-concepts and internal tools.
- Collaborate with machine learning engineers and product teams to integrate LLM safety components into production APIs or applications.
- Stay current with AI safety research, emerging tools, and regulatory standards.
Required Skills and Qualifications:
- 1-3 years of experience in data science, applied machine learning, or LLM-based applications.
- Strong programming skills in Python and experience writing SQL for data exploration or feature engineering.
- Solid understanding of natural language processing, deep learning, and LLM architectures.
- Hands-on experience with Hugging Face, LangChain, LLM APIs, and vector stores.
- Familiarity with front-end basics is a plus.
- Experience with model evaluation, red-teaming, or safety interventions in NLP/LLM systems.
- (Preferred) Familiarity with deploying ML pipelines in production and ability to thrive in a fast-paced startup environment.
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