ML Engineer, Agentic Retrieval — Remote

Pantera Capital; San Jose (CA); Hybrid; USD 151,800 - 332,200; Full time

Job summary

Zoom is seeking a Machine Learning Engineer to join the Agentic Retrieval team, building core retrieval and reasoning systems powering the AI Companion for enterprise knowledge search and actionable answers. You will design scalable search, RAG pipelines, and integration of AI agents in production, collaborating with product and infra teams to ship trustworthy capabilities at scale.

The role demands 5+ years in ML, distributed systems, and information retrieval, with proficiency in Python or

Qualifications

• Master’s degree or higher in CS, AI, or related field.
• 5+ years in machine learning, search infra, or distributed systems.
• Experience building and operating large-scale search or data platforms in production.
• Experience building or integrating RAG systems with LLMs in production.
• Proficiency in Python, Go, Java, C#, or C++.
• Strong information retrieval fundamentals: inverted index, embeddings, hybrid retrieval.
• Strong system design skills for scale, latency, and cost.

Responsibilities

• Designing and implementing scalable retrieval systems including vector search, hybrid search, and structured query planning.
• Designing and optimizing Retrieval-Augmented Generation (RAG) pipelines for multi-step, tool-using AI agents.
• Developing ranking, relevance modeling, and evaluation frameworks to improve search quality and grounding.
• Building indexing pipelines that transform heterogeneous enterprise data into unified, retrieval-ready representations.
• Building entity extraction and NLP pipelines that support agentic reasoning over enterprise content.
• Partnering with product, infrastructure, and applied research teams to ship production-grade AI capabilities.

Skills

Python

Go

Java

C#

C++

information retrieval

system design

RAG

distributed systems

search infrastructure

Education

Master's degree or higher in Computer Science or related field

Job description

Zoom is seeking a Machine Learning Engineer to join the Agentic Retrieval team, building core retrieval and reasoning systems powering the AI Companion for enterprise knowledge search and actionable answers. You will design scalable search, RAG pipelines, and integration of AI agents in production, collaborating with product and infra teams to ship trustworthy capabilities at scale.

The role demands 5+ years in ML, distributed systems, and information retrieval, with proficiency in Python or