Zoom
Sr. Machine Learning Engineer - AI
Seattle (WA) · Senior
No sponsorshipDetected 8 hours ago
AlgorithmsAWSDockerKubernetesMachine LearningNLPLLMsRAGConfluenceResearchCommunicationCollaboration
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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
- Ways of Working Our structured hybrid approach is centered around our offices and remote work environments.
- The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Responsibilities
- Maintain comprehensive documentation for all AI search systems, workflows, and services using Confluence, Zoom Docs, and LucidChart
- Optimize knowledge graph algorithms for performance, scalability, and reliability.
- Develop/maintain documentation, best practices, guidelines
- Lead the design, development, and deployment of AI search pipelines, including document understanding and retrieval systems, using libraries such as Docling
- Evaluate external data sources to enhance AI search/document understanding
- Develop performance metrics, monitoring systems, and optimizations for AI search pipelines to ensure scalability, efficiency, and low latency
- Develop and maintain AI-driven search and ranking algorithms for enterprise-scale information retrieval and RAG (Retrieval-Augmented Generation) systems;
- support work-life balance
Requirements
- Requires a bachelor's degree in computer science, Communications Engineering, a related field, or a foreign degree equivalent.
- 3 years of experience in job offered or related occupation.
- 3 years of experience in the following:
- 3 years of experience in design, development, and deployment of document understanding and processing pipelines;
- 3 years of experience in evaluating external data sources to enhance AI search/document understanding;
- 3 years of experience in developing performance metrics, monitoring systems, and optimizations for AI search pipelines to ensure scalability, efficiency, and low latency;
- 3 years of experience in design and maintaining data ingestion, preprocessing, and transformation pipelines for both structured and unstructured data, ensuring high data quality and reliability;
- 3 years of experience collaborating with cross-functional teams of engineers, product managers, and domain experts to define requirements and implement scalable, production-ready ML services;
- 3 years of experience optimizing knowledge graph algorithms for performance, scalability, and reliability.
- 3 years of experience developing and maintaining AI-driven search and ranking algorithms for enterprise-scale information retrieval and RAG (Retrieval-Augmented Generation) systems;
Compensation
- Salary Range or On Target Earnings:
Benefits
- Architect and optimize large-scale Machine Learning workflows to process structured and unstructured data for knowledge graphs and search services
- Deploy, monitor, and maintain machine learning models (LLMs and agentic workflows) in a microservice environment using Docker, Kubernetes (AWS EKS), and internal platforms (ZCP)
- Collaborate with cross-functional teams of engineers, product managers, and domain experts to define requirements and implement scalable, production-ready Machine Learning services.
- Develop business logic for routing requests to Machine Learning models and managing feature stores
- Implement advanced authentication and security mechanisms for Machine Learning pipelines, including asymmetric JWT and secure key management (AWS KMS, internal CSMS.
- Conduct research on cutting-edge Machine Learning, NLP, and knowledge graph techniques, evaluating external data sources to enhance search and document understanding capabilities
Company info
- Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
- We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
- Our Commitment
- At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step.
- We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.
- If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon.
- This form is solely for applicants who require an accommodation due to a qualifying medical disability.
- Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
- Think of this opportunity as a marathon, not a sprint!
- Zoomies help people stay connected so they can get more done together.
- We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
- We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind.
- Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
- At Zoom, we believe great work happens when people feel supported and empowered.
Visa & Work Authorization
- Immigration sponsorship is not available for this position What you can expect:
This listing is sourced directly from Zoom's careers page and normalized into a canonical job model.