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Trust & Safety Machine Learning Engineer
full-timeSan Jose$137k - $275k

Summary

Location

San Jose

Salary

$137k - $275k

Type

full-time

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About this role

Machine Learning Engineer

What you can expect

As a Machine Learning Engineer on our team, you will play a critical role in shaping the future of Zoom AI through innovative engineering solutions.

About the Team

With eight specialized departments, the engineering team functions as a highly collaborative, diverse powerhouse. Each department mission is to deliver seamless and innovative communication solutions. These range from software development and machine learning to quality assurance teams that work to create and maintain Zoom's user-friendly interfaces and robust infrastructure. The team continues to push the boundaries of communication technology, bringing people together regardless of their physical distance.

Responsibilities

  • Designing, implementing, and optimizing AI/ML algorithms, techniques and solutions to address complex business challenges.

  • Collaborating with cross-functional teams to integrate research findings into scalable engineering solutions that align with business objectives.

  • Participating in code reviews, design discussions, and technical presentations to ensure the quality and reliability of our engineering solutions.

  • Identifying opportunities for improvement in existing systems and proposing innovative solutions to enhance performance, scalability, and reliability.

  • Staying up-to-date with the newest developments in AI/ML research and engineering to continuously improve our technical capabilities.

What we’re looking for

  • Demonstrate 5+ Years of professional experience and a Master’s Degree or PhD in Computer Science, AI, Machine Learning, or a related field

  • Be proficient in one or more programming languages such as Python.

  • Be proficient in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.

  • Experience with natural language processing (NLP).

  • Understand deep learning frameworks such as PyTorch, TensorFlow, or similar.

  • Demonstrate AI dedication through sharing academic or personal AI projects and enthusiasm for new possibilities.

  • Able to effectively collaborate with cross-functional teams and present technical concepts to both technical and non-technical audiences.

Salary Range or On Target Earnings:

Minimum:

$137.700,00

Maximum:

$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

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:

01/30/26

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-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.

Other facts

Tech stack
Machine Learning,AI,Python,Natural Language Processing,Deep Learning,PyTorch,TensorFlow,Collaboration,Technical Presentation,Code Review,Design Discussion,Research Integration,Algorithm Optimization,Performance Enhancement,Scalability,Reliability

About Zoom

Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom AI-first work 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, Contact Center 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 find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Learn more about careers at Zoom by visiting our careers site: https://careers.zoom.us/home

Team size: 5,001-10,000 employees
Website: www.zoom.com
LinkedIn: Visit
Industry: IT Services and IT Consulting
Founding Year: 2013

What you'll do

  • Design and implement AI/ML algorithms to solve complex business challenges while collaborating with cross-functional teams. Participate in code reviews and design discussions to ensure the quality and reliability of engineering solutions.

Ready to join Zoom?

Take the next step in your career journey

Frequently Asked Questions

What does Zoom pay for a Trust & Safety Machine Learning Engineer?

Zoom offers a competitive compensation package for the Trust & Safety Machine Learning Engineer role. The salary range is USD 138k - 275k per year. Apply through Clera to learn more about the full compensation details.

What does a Trust & Safety Machine Learning Engineer do at Zoom?

As a Trust & Safety Machine Learning Engineer at Zoom, you will: design and implement AI/ML algorithms to solve complex business challenges while collaborating with cross-functional teams. Participate in code reviews and design discussions to ensure the quality and reliability of engineering solutions..

Why join Zoom as a Trust & Safety Machine Learning Engineer?

Zoom is a leading IT Services and IT Consulting company. The Trust & Safety Machine Learning Engineer role offers competitive compensation.

Is the Trust & Safety Machine Learning Engineer position at Zoom remote?

The Trust & Safety Machine Learning Engineer position at Zoom is based in San Jose, California, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Trust & Safety Machine Learning Engineer position at Zoom?

You can apply for the Trust & Safety Machine Learning Engineer position at Zoom directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Zoom on their website.