Zoom Video Communications

4 weeks ago

Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Design, implement, and optimize GenAI algorithms and techniques to solve complex business challenges. Collaborate with cross-functional teams to translate research into scalable, production-ready engineering solutions. Own quality through code reviews, design discussions, and technical presentations, while improving existing systems for performance, scalability, and reliability. Continuously stay current with GenAI research and troubleshoot deployed AI systems.

Location: Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design, implement, and optimize GenAI algorithms, techniques, and solutions for complex business challenges.
•Collaborate with cross-functional teams to integrate research findings into scalable engineering solutions.
•Participate in code reviews, design discussions, and technical presentations to ensure quality and reliability.
•Identify opportunities to improve existing systems and propose innovations to enhance performance, scalability, and reliability.
•Stay current with new GenAI research and engineering and continuously improve technical capabilities.

Pay and Benefits

Salary: USD 183,600 - 275,400 annually

Key Requirements

•Bachelor's degree in Computer Science, Computer Engineering, or a related field (or foreign equivalent).
•3 years of experience in the job offered or a related occupation.
•3 years using one or more of: Python, C, C++, or CUDA to build scalable software systems.
•3 years with deep learning frameworks including PyTorch and TensorFlow.
•Experience with agentic AI/LLM-driven AI agents and agentic RAG, plus building production-ready ML systems and troubleshooting deployed AI systems.

Experience:3+ years

Education:Bachelor's

Skills:CollaborationTechnical communicationProblem-solving

Tech Stack:GenAIPythonCC++CUDAPyTorchTensorFlowLLMAgentic AIAgentic RAGMachine learning

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

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

Website LinkedIn

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Zoom Video Communications

4 weeks ago

Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design, implement, and optimize GenAI algorithms, techniques, and solutions for complex business challenges.
•Collaborate with cross-functional teams to integrate research findings into scalable engineering solutions.
•Participate in code reviews, design discussions, and technical presentations to ensure quality and reliability.
•Identify opportunities to improve existing systems and propose innovations to enhance performance, scalability, and reliability.
•Stay current with new GenAI research and engineering and continuously improve technical capabilities.

Pay and Benefits

Salary: USD 183,600 - 275,400 annually

Key Requirements

•Bachelor's degree in Computer Science, Computer Engineering, or a related field (or foreign equivalent).
•3 years of experience in the job offered or a related occupation.
•3 years using one or more of: Python, C, C++, or CUDA to build scalable software systems.
•3 years with deep learning frameworks including PyTorch and TensorFlow.
•Experience with agentic AI/LLM-driven AI agents and agentic RAG, plus building production-ready ML systems and troubleshooting deployed AI systems.

Experience:3+ years

Education:Bachelor's

Skills:CollaborationTechnical communicationProblem-solving

Tech Stack:GenAIPythonCC++CUDAPyTorchTensorFlowLLMAgentic AIAgentic RAGMachine learning

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Zoom Video Communications

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

Website LinkedIn