Software Development Engineer

Zoom; San Jose (CA); Hybrid; USD 138,000 - 275,000; Full time

Job summary

Zoom is seeking a Machine Learning Engineer for the Trust and Safety Engineering team in San Jose, CA. This hybrid role requires on-site presence 4 days per week and involves building AI/ML models to protect millions of users.

You will translate research into scalable systems, collaborate with researchers, and stay current with AI advances to strengthen safety capabilities across the platform.

Qualifications

• 5 or more 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 solid understanding of ML concepts, algorithms, and techniques; experience with NLP is a plus
• Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or similar
• Demonstrated enthusiasm for AI through academic or personal projects, with genuine curiosity for emerging possibilities in the field
• Ability to collaborate effectively with cross-functional teams and communicate technical concepts to both technical and non-technical audiences

Responsibilities

• Design, implement, and optimize AI/ML algorithms, techniques, and solutions to address complex 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 innovative solutions that enhance performance, scalability, and reliability.
• Stay current with advancements in AI/ML research and engineering, applying emerging knowledge to continuously strengthen our technical capabilities.

Skills

Python

ML concepts

NLP

Deep learning

Model deployment

Communication

Education

Master’s degree in Computer Science / AI / ML or related field

PhD in Computer Science / AI / ML or related field

Tools

PyTorch

TensorFlow

Job description

What You Can Expect

At Zoom, we’re building AI that people can trust, and the Trust and Safety Engineering team is central to that mission. As a Machine Learning Engineer, you will develop and enhance AI/ML algorithms and solutions that protect millions of users across the Zoom platform, contributing to a team where your work has immediate impact on user safety. Working alongside experienced researchers and engineers, you will translate cutting-edge research into scalable systems, tackle complex challenges, and continuously grow your technical craft. This is a hybrid position that requires on-site presence 4 days per week at our San Jose, CA office. Remote arrangements are not available for this role.

The Trust and Safety Engineering team works to protect Zoom users from abuse and harm, applying state-of-the-art AI and ML to build safer, more trustworthy experiences across the platform. We are a collaborative group of engineers and researchers passionate about translating advanced technology into real-world safety impact, and we take pride in doing that work with rigor and purpose.

Responsibilities

• Design, implement, and optimize AI/ML algorithms, techniques, and solutions to address complex 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 innovative solutions that enhance performance, scalability, and reliability.
• Stay current with advancements in AI/ML research and engineering, applying emerging knowledge to continuously strengthen our technical capabilities.

What We’re Looking For

• 5 or more 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 solid understanding of ML concepts, algorithms, and techniques; experience with natural language processing (NLP) is a plus
• Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or similar
• Demonstrated enthusiasm for AI through academic or personal projects, with genuine curiosity for emerging possibilities in the field
• Ability to collaborate effectively with cross-functional teams and communicate technical concepts to both technical and non-technical audiences

Salary Range Or On Target Earnings

$137,700.00 - $275,400.00

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations

Anticipated Position Close Date

11/10/26

Ways of Working

Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Place is indicated in the job description/posting.

Benefits

As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.

About Us

Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.

We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Our Commitment

At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

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