Machine Learning Engineer

Zoom is hiring a Machine Learning Engineer to design, implement, and optimize GenAI algorithms and scalable machine learning systems in a hybrid setup based in Seattle.

Responsibilities

• Design, implement, and optimize GenAI algorithms, techniques, and solutions for complex business challenges
• Collaborate with cross-functional teams to translate research findings into scalable engineering solutions aligned with business objectives
• Participate in code reviews, design discussions, and technical presentations to support quality and reliability
• Find improvement opportunities in existing systems and propose innovative approaches to enhance performance, scalability, and reliability
• Stay current with the newest GenAI research and engineering developments to strengthen technical capabilities

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 related occupation
• 3 years of experience with:
  • Programming languages including Python, C, C++, or CUDA for scalable software systems
  • Deep learning frameworks including PyTorch and TensorFlow
  • Presenting academic or personal AI projects
  • Collaborating with cross-functional teams to communicate technical concepts to both technical and nontechnical audiences
  • Agentic AI, including LLM-driven AI agents and agentic RAG
  • Building scalable, maintainable, production-ready machine learning systems
  • Analyzing data and troubleshooting issues related to deployed AI systems
• Hybrid work arrangement: telecommuting permitted one day per week; four days in office
• Travel: no domestic or international travel required (as stated in the posting)

Education and Experience Alternate (if no Bachelor’s)

• Master’s degree in Computer Science, Computer Engineering, or related field (or foreign equivalent)
• 1 year of experience in the job offered or related occupation
• 1 year of experience with the skills listed in the Requirements section
• Hybrid work arrangement: telecommuting permitted one day per week; four days in office
• Travel: no domestic or international travel required (as stated in the posting)

Key Technologies

• Python
• C
• C++
• CUDA
• PyTorch
• TensorFlow

Compensation

• Salary range: USD 183,600 - 275,400 per year
• Total Direct Compensation philosophy considers base salary, bonus, and equity value
• Starting pay based on qualifications and experience
• Location-based compensation structure may result in different ranges for other locations

Work Location

• Seattle, WA (hybrid)
• Structured hybrid approach centered around offices and remote work environments

Immigration Sponsorship

• Immigration sponsorship is not available for this position