Senior machine learning engineer

Responsibilities: Develop ML and LLM capabilities for query understanding, rewriting, decomposition, and structured search constraints Design and improve agentic search planners that select sources and adapt based on evidence Improve model behavior through prompts, training data improvements, and fine-tuning as needed Own projects from problem definition through production deployment and measurement Create datasets and evaluation methods to measure retrieval relevance and grounding Balance search quality with latency and cost within enterprise permissions and data boundaries Collaborate with other AI teams to integrate query intelligence into user experiences Contribute to technical design, code reviews, and mentorship of junior engineers

Key requirements: Bachelor’s or Master’s degree in Computer Science or related field, or equivalent practical experience 4+ years in machine learning with production-delivered ML capabilities Strong Python programming skills for production-quality code Experience in NLP, information retrieval, search relevance, or LLM applications Experience designing experiments, building evaluation datasets, and using evidence to drive improvements Understanding of ML development lifecycle from data prep to deployment and monitoring Ability to own ambiguous problems and communicate effectively with engineering and product partners ownership of problems clear communication with partners cross-functional collaboration Python programming natural language processing information retrieval