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.
About the Team
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:
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
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!
Anticipated Position Close Date:
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-Person 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. Click Learn for more information.
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.
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.
Skills Required
- Five 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
- Strong understanding of machine learning concepts, algorithms, and techniques
- Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or similar
- Enthusiasm for AI demonstrated through academic or personal projects
- Ability to collaborate effectively with cross-functional teams and communicate technical concepts to technical and non-technical audiences
- Experience with natural language processing
Zoom Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoom and has not been reviewed or approved by Zoom.
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Fair & Transparent Compensation — Compensation is positioned at or above market for many roles, and postings often include clear pay ranges that help set expectations. Market standing among similar-size tech firms reinforces the perception of strong total rewards.
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Equity Value & Accessibility — Equity grants and an ESPP are prominent parts of the package and can materially augment cash compensation. Stock components are framed as a meaningful contributor to overall pay satisfaction.
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Healthcare Strength — Medical plan choice is broad and paired with free dental and vision for employees and dependents, plus robust mental-health resources and disability coverage. These elements position core health benefits as a standout strength.
Zoom Insights
What We Do
Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom platform you know and love. 💙 Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like AI Companion, Team Chat, Contact Center, Phone, Events, Rooms, Webinar, and more, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses. We do what we do because of our core value of Care: care for our community, our customers, our company, our teammates, and ourselves. Our global employees help our customers meet happier, communicate better, and create meaningful connections the world over. Zoomies are problem-solvers and self-starters, working hard to get results and moving quickly to design solutions with our customers and users in mind. Here, you’ll work across teams to dig deep into impactful projects that are changing the way people communicate, and find room to grow with opportunities to stretch your skills and advance your career in a diverse, inclusive environment. Learn more about careers at Zoom by visiting our careers site: https://careers.zoom.us/home
