Machine Learning Engineer

Zoom is seeking a Machine Learning Engineer to help design, build, and improve GenAI algorithms and scalable machine learning systems. This role supports the translation of research into production-focused engineering solutions, with a hybrid schedule in Seattle, WA.

Location and Work Arrangement

• Location: Seattle, WA (hybrid)
• Telecommuting: One day per week permitted
• In-office requirement: Four days per week
• Travel: No domestic or international travel requirement mentioned
• Ways of working: Zoom uses a structured hybrid approach that combines office presence with remote work environments

Salary and Compensation

• Salary range: USD 183,600 to 275,400 per year
• Total Direct Compensation: Zoom considers base salary, bonus, and equity value under its Total Direct Compensation philosophy
• Pay determination: Starting pay is based on factors including qualifications and experience
• Location-based structure: Compensation may vary by location

Responsibilities

• Design, implement, and optimize GenAI algorithms, techniques, and solutions to solve complex business challenges
• Work with cross-functional teams to integrate research findings into scalable engineering solutions aligned with business objectives
• Participate in code reviews, design discussions, and technical presentations to support engineering quality and reliability
• Evaluate existing systems and propose improvements to enhance performance, scalability, and reliability
• Stay current on new developments in GenAI research and engineering to continuously strengthen technical capabilities

Required Qualifications

• Education: Bachelor’s degree in Computer Science or Computer Engineering (or a related field/foreign equivalent)
• Experience: 3 years in the job offered or related occupation
• Skills (3 years each):
  • Utilizing one or more programming languages such as Python, C, C++, or CUDA in building scalable software systems
  • Deep learning frameworks including PyTorch and TensorFlow
  • Presenting academic or personal AI projects
  • Collaborating with cross-functional teams to present technical concepts to both technical and nontechnical audiences
  • Agentic AI, including LLM-driven AI agents and agentic RAG
  • Building scalable, maintainable, and production-ready machine learning systems
  • Analyzing data and troubleshooting issues related to deployed AI systems
• Work authorization: Immigration sponsorship is not available for this position

Alternative Education in Lieu of a Bachelor’s Degree

• Education alternative: Master’s degree in Computer Science, Computer Engineering, a related field, or a foreign degree equivalent
• Experience alternative: 1 year in the job offered or related occupation
• Skills (1 year each):
  • Utilizing one or more programming languages such as Python, C, C++, or CUDA in building scalable software systems
  • Deep learning frameworks including PyTorch and TensorFlow
  • Presenting academic or personal AI projects
  • Collaborating with cross-functional teams to present technical concepts to both technical and nontechnical audiences
  • Agentic AI, including LLM-driven AI agents and agentic RAG
  • Building scalable, maintainable, and production-ready machine learning systems
  • Analyzing data and troubleshooting issues related to deployed AI systems
• Work arrangement: Telecommuting permitted one day per week; four days in office required
• Travel: No domestic or international travel requirement mentioned

Technologies

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