
Protection and Safety Specialist
6 days ago
Job Overview:
We are seeking an experienced AI safety engineer to join our team. As an AI safety engineer, you will be responsible for designing and building guardrails for prompt injection protection, toxicity/bias detection, and hallucination/jailbreak identification to ensure the safety of large language models.
Responsibilities:
- Develop and maintain evaluation frameworks to monitor the fairness, compliance, and overall health of large language models.
- Build automated pipelines using Python and SQL to process, tag, and evaluate large language model outputs.
- Use vector databases and embeddings to identify unsafe content or model drift and prevent potential issues.
- Collaborate with machine learning engineers and product teams to integrate large language model safety components into production APIs or applications.
Requirements:
- 1-3 years of experience in data science, applied machine learning, or large language model-based applications.
- Strong programming skills in Python and experience writing SQL for data exploration or feature engineering.
- A solid understanding of natural language processing, deep learning (CNN/RNN/Transformers), and large language model architectures.
- Hands-on experience with Hugging Face, LangChain, large language model APIs (OpenAI, Anthropic), and vector stores (FAISS, Pinecone, Chroma).
- Familiarity with front-end basics (Streamlit, Dash, or simple HTML/CSS/JS) is a plus but not mandatory.
- Experience with model evaluation, red-teaming, or safety interventions in natural language processing/large language model systems.
Preferred Qualifications:
- (Preferred) Familiarity with deploying machine learning pipelines in production (Docker, FastAPI) and ability to thrive in a fast-paced startup environment.
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