AI Workflows & Safety Decision-Making Intern (2027)

Quick Facts

• Internship: Full-time, 12 weeks
• Team: Safety Strategy & Operations
• Focus: Agentic AI workflows and safety decision-support tools

Description

Work on internal AI tools that help safety operators and analysts make faster, more consistent, data-driven safety decisions. You will develop agentic workflows and AI-assisted tools, validate reliability and failure modes of LLM-based decision aids, and integrate AI agents with structured safety databases and operational logs. You’ll collaborate with safety strategists and software engineers to test prototypes in operational scenarios.

Responsibilities

• Design, prototype, and implement agentic workflows and AI-powered decision tools for safety evaluations and triage of operational signals
• Characterize LLM/AI workflow edge cases and failure modes to ensure decision aids meet safety-critical reliability thresholds
• Integrate generative AI agents with safety databases and operational logs for real-time synthesis and risk reporting
• Test prototypes with safety and software teams in operational scenarios and iterate based on user feedback

Requirements

• Pursuing a Master’s (or advanced) degree in Computer Science, Artificial Intelligence, Robotics, Data Science, or related engineering
• Good academic standing and enrolled at an accredited college/university throughout the internship
• Graduation expected between Fall 2027 and Summer 2028
• Availability for a full-time, 12-week internship
• Ability to relocate to the Bay Area, California, for the duration of the internship
• Must not use proprietary information for thesis or publication outside the employer

Benefits

• Monthly salary range: $5,500–$9,500 (varies by geographic location and level of education)
• Medical insurance
• Housing stipend (relocation assistance offered based on eligibility)

Technical Qualifications

• Strong software engineering fundamentals in Python and object-oriented programming
• Hands-on experience developing and deploying AI tools, LLM APIs, and agentic workflows (e.g., LangChain, LlamaIndex, Claude/Cursor environments)
• Critical understanding of limitations, hallucinations, and verification methods for AI in decision-making contexts
• Experience building prototypes, APIs, or internal web dashboards (e.g., Streamlit, FastAPI, or Flask)
• Strong analytical problem-solving and clear written/verbal technical communication

Bonus Qualifications

• Experience applying AI/ML to autonomous systems, safety analytics, or risk management
• Experience designing evaluation harnesses to benchmark generative AI and prompt performance
• Familiarity with database architectures (SQL/NoSQL) and data warehousing platforms