Machine Learning Engineer - Search & Recommendation

Job Title: Sr. Machine Learning Engineer - Search and Recommendation

Duration: Full-Time/Direct Hire

Location: San Mateo, CA

Must have: Experience with Search and Recommendation

Key Skills • Python (strong), PyTorch • Data handling / ML pipelines • LLMs, prompt tuning • Fine-tuning models • Vector DB & embeddings • Experience taking ML models into production • Work on ranking & recommendation systems • Multi-agent / agentic workflows • Build production-ready ML solutions

Preferred Qualifications • Specialized Infrastructure: Deep experience with Vector Databases (e.g., Pinecone, Milvus) and optimizing embedding models for retrieval. • Fine-tuning: Experience fine-tuning LLMs for specialized domain tasks and ranking signals. • AI Agent Orchestration: Hands-on experience with agentic frameworks (e.g., LangGraph, AutoGen, or CrewAI) for building complex, multi-step reasoning chains. • Planning & Memory: Experience implementing agentic "memory" (long-term/short-term) and planning strategies (like ReAct or Tree of Thoughts). • Data Structures: Expert knowledge of algorithms and data structures. • Research & Community: A track record of publications in top-tier conferences (e.g., NeurIPS, SIGIR, KDD, ACL) or significant contributions to open-source ML projects.