Software Development Engineer - Seattle, Washington, United States

Zoom Video Communications
Seattle
Workplace: HybridFull timeUSD 184,030 - 275,400 annuallyFunction: Administration & Executive AssistanceExperience: 3+ yearsEducation: bachelorsSkills: []

Design and build AI-embedded, web-based applications for Zoom, partnering with AI, Meeting, Phone, Big Data, Data Engineering, and Cloud-Native teams. Focus on back-end development while collaborating with product and platform stakeholders. Own AI/ML algorithms and production services across agents, computer vision, NLP, and recommendations, implementing end-to-end model lifecycle from data ingestion through deployment, monitoring, and iteration. Ensure reliability via testing, code reviews, and performance debugging, and maintain technical documentation and runbooks.

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FursaFursa
Zoom Video Communications
Zoom Video Communications
1 month ago

Software Development Engineer - Seattle, Washington, United States

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 48 minutes agoStatus: Live

Job Summary

Design and build AI-embedded, web-based applications for Zoom, partnering with AI, Meeting, Phone, Big Data, Data Engineering, and Cloud-Native teams. Focus on back-end development while collaborating with product and platform stakeholders. Own AI/ML algorithms and production services across agents, computer vision, NLP, and recommendations, implementing end-to-end model lifecycle from data ingestion through deployment, monitoring, and iteration. Ensure reliability via testing, code reviews, and performance debugging, and maintain technical documentation and runbooks.
Location: Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Collaborate with product, research, and platform teams to clarify objectives, data constraints, and success metrics.
  • •Design, develop, and maintain AI/ML algorithms and production services across AI agents, computer vision, NLP, and recommendation systems.
  • •Implement end-to-end model lifecycle from data ingestion and feature engineering through training, evaluation, deployment, monitoring, and iterative improvement.
  • •Ensure reliability and quality through code reviews, automated unit/integration tests, debugging, and addressing performance regressions.
  • •Document code, models, data pipelines, and operational runbooks for internal reuse, audits, and external stakeholders.

Pay and Benefits

Salary: USD 184,030 - 275,400 annually

Key Requirements

  • •Bachelor’s degree in Computer Science, Management Information Systems, or a related field (or foreign degree equivalent).
  • •3+ years of experience developing and deploying machine learning models (CV, NLP, or recommendation) in production, including evaluation and post-release monitoring.
  • •3+ years building and operating scalable software/microservices that expose AI functionality via APIs or SDKs and integrating with existing systems.
  • •3+ years creating and maintaining automated testing, CI/CD pipelines, and observability (logging/metrics/alerts) for reliable AI/ML releases.
  • •3+ years designing and implementing data pipelines for training and inference, including data validation, transformation, and versioning.
Experience:3+ yearsMachine learningAIComputer visionNLPRecommendation systems
Education:Bachelor's in Computer Science or Management Information Systems (or related field)
Tech Stack:AI agentsComputer visionNatural language processing (NLP)Recommendation systemsLLM analysisASRImage processingAPIsSDKsMicroservicesCI/CDLoggingMetricsAlertsData ingestionFeature engineeringModel trainingModel evaluationDeploymentMonitoring

Company Brief

Zoom Video Communications
Provides video conferencing, chat, phone, webinar, and collaboration software for businesses, schools, and individuals. Its platform is widely used for remote meetings, virtual events, and hybrid work communication.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 2011
WebsiteLinkedIn