Internship in AI/ML - Agentic Retrieval and Enterprise Systems
Zoom Corporation, Seattle, WA, United States
Join Our Innovative Team!
You will be a vital part of our Generative AI team dedicated to developing cutting-edge AI features that serve enterprise clients. We highly value curiosity, clear communication, and strong teamwork. Collaborate closely with engineers and product partners to provide insights that influence technical decisions and system architecture.
Your Role and Responsibilities:
At Zoom, we are creating the next generation of enterprise AI systems aimed at enhancing intelligent search and retrieval capabilities. As an AI Engineer / Machine Learning Engineer Intern, your work will directly impact real users as you engage in projects related to agentic retrieval and Enterprise RAG systems. This position lies at the intersection of large language models, retrieval systems, and engineering for production. You will help design, implement, and optimize pipelines that effectively retrieve, reason about, and act on enterprise knowledge, ensuring high accuracy, low latency, and reliability.
You will get the chance to contribute in areas such as:
Agentic Retrieval and RAG Systems:
Design and implement retrieval pipelines that support multi-step reasoning, retrieval processes, and tool or function calls. Boost the performance of Enterprise RAG systems by enhancing latency, throughput, and cost efficiency. Integrate these workflows with unified retrieval layers and enterprise data sources.
Retrieval Quality and Efficiency:
Optimize retrieval strategies to minimize redundant system calls and context bloat. Implement content compression and filtering techniques to maintain answer quality while improving reasoning efficiency. Analyze system traces to identify inefficiencies and recurring failure patterns.
Production-Grade Engineering:
Create scalable and maintainable ML and retrieval components suitable for production environments. Add metrics, logging, and evaluation methods to track system performance and product impact. Work collaboratively with engineers and researchers to transition prototypes into reliable, operational services.
Qualifications We Seek: Pursuing a BS, MS, or PhD in Computer Science, Machine Learning, or a related field. Proficient in Python programming and familiar with production ML or backend systems. Strong foundation in information retrieval, NLP, or machine learning principles. Experience or coursework related to LLMs, retrieval-augmented generation, or agent-based systems. Ability to critically assess system trade-offs regarding accuracy, latency, and cost. Preferred Skills: Hands-on experience with LLM APIs, prompt engineering, or model fine-tuning. Familiarity with search systems, vector databases, or ranking pipelines. Exposure to agentic workflows, tool function calling, or multi-step reasoning systems. Experience working with real datasets and evaluating model/system performance. A genuine interest in developing AI systems with tangible product impact rather than mere research prototypes. What You Will Gain: Practical experience in building AI systems that operate at an enterprise scale. Insights into state-of-the-art agentic retrieval and Enterprise RAG architectures. Mentorship from accomplished AI engineers and ML professionals. Opportunities to see how your contributions affect real Zoom products and user experiences. A strong foundation for a future career in applied AI, ML engineering, or AI platform development. Salary Information: Minimum: $66.50 | Maximum: $106.50 Salary offers will consider various factors, including qualifications and experience. Ways of Working: Our hybrid approach combines office and remote work environments effectively. Join Us: Zoomies are dedicated to helping people stay connected. We are committed to building the best collaboration platform for enterprises and fostering a workplace culture that values diverse perspectives. If you require accommodations during the hiring process, please let us know—we're here to assist you at every step.
Design and implement retrieval pipelines that support multi-step reasoning, retrieval processes, and tool or function calls. Boost the performance of Enterprise RAG systems by enhancing latency, throughput, and cost efficiency. Integrate these workflows with unified retrieval layers and enterprise data sources.
Retrieval Quality and Efficiency:
Optimize retrieval strategies to minimize redundant system calls and context bloat. Implement content compression and filtering techniques to maintain answer quality while improving reasoning efficiency. Analyze system traces to identify inefficiencies and recurring failure patterns.
Production-Grade Engineering:
Create scalable and maintainable ML and retrieval components suitable for production environments. Add metrics, logging, and evaluation methods to track system performance and product impact. Work collaboratively with engineers and researchers to transition prototypes into reliable, operational services.
Qualifications We Seek: Pursuing a BS, MS, or PhD in Computer Science, Machine Learning, or a related field. Proficient in Python programming and familiar with production ML or backend systems. Strong foundation in information retrieval, NLP, or machine learning principles. Experience or coursework related to LLMs, retrieval-augmented generation, or agent-based systems. Ability to critically assess system trade-offs regarding accuracy, latency, and cost. Preferred Skills: Hands-on experience with LLM APIs, prompt engineering, or model fine-tuning. Familiarity with search systems, vector databases, or ranking pipelines. Exposure to agentic workflows, tool function calling, or multi-step reasoning systems. Experience working with real datasets and evaluating model/system performance. A genuine interest in developing AI systems with tangible product impact rather than mere research prototypes. What You Will Gain: Practical experience in building AI systems that operate at an enterprise scale. Insights into state-of-the-art agentic retrieval and Enterprise RAG architectures. Mentorship from accomplished AI engineers and ML professionals. Opportunities to see how your contributions affect real Zoom products and user experiences. A strong foundation for a future career in applied AI, ML engineering, or AI platform development. Salary Information: Minimum: $66.50 | Maximum: $106.50 Salary offers will consider various factors, including qualifications and experience. Ways of Working: Our hybrid approach combines office and remote work environments effectively. Join Us: Zoomies are dedicated to helping people stay connected. We are committed to building the best collaboration platform for enterprises and fostering a workplace culture that values diverse perspectives. If you require accommodations during the hiring process, please let us know—we're here to assist you at every step.