Machine Learning Engineer

Zoom • San Jose, CA

3d • $137,700 - $275,400 • Hybrid

About The Position

The Machine Learning Engineer will develop and enhance AI/ML algorithms and solutions for Zoom’s Trust and Safety Engineering team, helping protect users across the Zoom platform. The role translates research into scalable engineering systems, addresses complex user-safety challenges, and contributes to reliable, high-impact solutions. It is a hybrid position requiring on-site presence four days per week at Zoom’s San Jose, California office; remote arrangements are not available.

Requirements

• At least 5 years of professional experience with a Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent experience.
• Proficiency in Python or another relevant programming language.
• Hands-on experience developing and deploying machine learning models, with a solid understanding of ML concepts, algorithms, and techniques.
• Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or similar.
• Ability to collaborate effectively with cross-functional teams and communicate technical concepts to technical and non-technical audiences.

Nice To Haves

• Experience with natural language processing (NLP).
• Enthusiasm for AI demonstrated through academic or personal projects, with curiosity about emerging possibilities in the field.

Responsibilities

• Design, implement, and optimize AI/ML algorithms, techniques, and solutions to address Trust and Safety challenges.
• Collaborate 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 uphold the quality and reliability of engineering solutions.
• Identify opportunities to improve existing systems and propose solutions that enhance performance, scalability, and reliability.
• Stay current with AI/ML research and engineering advancements and apply emerging knowledge to strengthen technical capabilities.

Benefits

• Benefits and options intended to support physical, mental, emotional, and financial health, work-life balance, and community involvement.
• The compensation philosophy considers base salary, bonus, and equity value.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior