Job
Description
Role Overview: Cowbell is leading the way in cyber insurance by utilizing technology and data to provide small and medium-sized enterprises (SMEs) with early detection of cyber risk exposures paired with flexible cyber insurance coverage that can adapt to present and future threats. Embracing adaptive insurance, Cowbell closely monitors policyholders" cyber risk exposures as they change through ongoing risk assessment and underwriting. With its innovative AI-driven approach to risk selection and pricing, Cowbell's underwriting platform, powered by Cowbell Factors, streamlines the insurance process from submission to issuance in less than 5 minutes. Key Responsibilities: - Design and implement RAG-based systems, integrating LLMs with vector databases, search pipelines, and knowledge retrieval frameworks. - Develop intelligent AI agents that automate tasks, retrieve relevant information, and enhance user interactions. - Collaborate with stakeholders and cross-functional teams to comprehend business needs and create impactful ML models and AI-driven automation solutions. - Work with APIs, embeddings, and multi-modal retrieval to boost AI application performance. - Optimize inference pipelines and enhance LLM serving, fine-tuning, and distillation for efficiency. - Research and implement cutting-edge advancements in generative AI and retrieval techniques to stay ahead of the curve. Qualification Required: - Master's in Computer Science, Data Science, AI, Machine Learning, or a related field (or a Bachelor's degree with substantial experience). - 5+ years of experience in machine learning, deep learning, and NLP for real-world applications. - 1+ years of hands-on experience with LLMs and generative AI. - Expertise in RAG architectures, vector search, and retrieval methods. - Proficiency in Python and experience with LLM APIs (OpenAI, Hugging Face, Anthropic, etc.). - Solid foundation in machine learning, statistical modeling, and AI-driven software development. - Knowledge of prompt engineering, few-shot learning, and prompt chaining techniques. - Strong software engineering skills, including experience with cloud platforms (AWS) and ML model deployment. - Excellent problem-solving skills, communication abilities, and the capability to work independently. Additional Details of the Company: Founded in 2019 and headquartered in the San Francisco Bay Area, Cowbell has expanded its operations to the U.S., Canada, U.K., and India. Recently, Cowbell secured a successful Series C funding round of $60 million from Zurich Insurance, solidifying its commitment to revolutionizing cyber insurance globally. With support from over 25 leading reinsurance partners, Cowbell is set to redefine how SMEs navigate the ever-changing landscape of cyber threats. What Cowbell brings to the table: - Employee equity plan for all and wealth enablement plan for select customer-facing roles. - Comprehensive wellness program, including meditation app subscriptions, lunch and learn sessions, book clubs, and happy hours. - Professional development opportunities to enhance skills in cyber insurance, cyber security, and overall professional growth within a team environment.,
