AI/ML Intern - Agentic Retrieval & Enterprise RAG jobs in United States
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Zoom · 6 hours ago

AI/ML Intern - Agentic Retrieval & Enterprise RAG

Zoom is building the next generation of enterprise AI systems that power intelligent search, retrieval, and agentic workflows across Zoom products. As an AI Engineer / Machine Learning Engineer Intern, you will work on agentic retrieval and Enterprise RAG systems that operate at production scale and directly impact real users.

CollaborationInformation TechnologyMessagingSaaSVideo Conferencing
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H1B Sponsor Likelynote

Responsibilities

Design and implement agentic retrieval pipelines that orchestrate multi-step reasoning, retrieval, and tool or function calls
Improve end-to-end performance of Enterprise RAG systems, including latency, throughput, and cost efficiency
Integrate agentic workflows with unified retrieval layers and enterprise data sources
Optimize retrieval strategies to reduce redundant calls and unnecessary context expansion
Implement content compression or filtering techniques to improve reasoning efficiency while preserving answer quality
Analyze retrieval and function-call traces to identify inefficiencies and failure patterns
Build scalable, maintainable ML and retrieval components suitable for production environments
Add instrumentation, logging, and evaluation hooks to measure system behavior and product impact
Collaborate with engineers and researchers to transition prototypes into reliable services

Qualification

PythonMachine LearningInformation RetrievalNLPLLMsProduction EngineeringCuriosityCollaborationClear Communication

Required

Be currently pursuing a BS, MS, or PhD in Computer Science, Machine Learning, or a related field
Have programming skills in Python and familiarity with production ML or backend systems
Have a solid understanding of information retrieval, NLP, or machine learning fundamentals
Have experience or coursework related to LLMs, retrieval-augmented generation, or agent-based systems
Have the ability to reason about system trade-offs such as accuracy, latency, and cost

Preferred

Have hands-on experience with LLM APIs, prompt engineering, or fine-tuning
Have familiarity with search systems, vector databases, or ranking pipelines
Have exposure to agentic workflows, tool or function calling, or multi-step reasoning systems
Have experience working with real datasets and evaluating model or system performance
Have an interest in building AI systems with direct product impact, not just research prototypes

Benefits

Hands-on experience building production-facing AI systems used at enterprise scale
Exposure to state-of-the-art agentic retrieval and Enterprise RAG architectures
Mentorship from experienced AI engineers and ML practitioners
Opportunity to see your work influence real Zoom products and user experiences
A strong foundation for a career in applied AI, ML engineering, or AI platform development

Company

Zoom

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Zoom is a software company that offers a communications platform that connects people through video, voice, chat, and content sharing.

H1B Sponsorship

Zoom has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (178)
2023 (144)
2022 (259)
2021 (86)
2020 (34)

Funding

Current Stage
Public Company
Total Funding
$276M
Key Investors
ARK Investment ManagementSequoia CapitalEmergence Capital
2021-11-04Post Ipo Equity· $130M
2019-04-19Post Ipo Equity
2019-04-18IPO

Leadership Team

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Eric Yuan
Founder & CEO
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Xuedong Huang
Chief Technology Officer
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Company data provided by crunchbase