Work Styles at Zoom
In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles.
Zoomies help people stay connected so they can get more done together. We set out to build the best video product 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 Webinar.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.
Zoom is in search of a Machine Learning Engineer for its Trust & Safety Engineering (T&S Engineering) team.
T&S handles fraud, complaints of abuse on the platform (such as meeting disruptions), responds to global law enforcement requests, carries out Zoom's export control program, and is building Zoom's arsenal of tools to combat abuse both before and after it happens.
T&S is committed to bringing happiness to customers while creating a culture of trust, safety, and respect. Zoom takes the privacy and security of our customers and their data extremely seriously. Our challenges include carefully balancing the privacy of Zoom customers and users, against the important security interests of our world.
Engineers on the T&S team manage the entire software development lifecycle. With a motivated mindset, our team builds scalable tools and systems to prevent abuse from happening on Zoom, while supporting Zoom's Trust & Safety mission of keeping its users safe.
You will be part of a T&S Engineering team whose focus on ml models if you are passionate about ML and DL technologies and building reputation models for account evaluation and predictive models for detection in area such as ATO, Fraud, etc.
MS or PhD in Computer Science, Engineering, Statistics, or related fields
3+ years of software engineering experience with 2+ years focus on Machine Learning
Fundamentals in Linear Algebra, Statistics and Machine Learning
Proficiency in Python or Java
Experience on ML models and algorithms such as anomaly detection, clustering, multi-class classification with booster algorithms
Experience with common ML libraries, such as Scikit-learn, TensorFlow, PyTorch and data visualization tools, such as Matplotlib and Seaborn
Knowledge and experience on SQL and NoSQL database
Knowledge of and experienced with cloud computing and big data platform, such as AWS, Spark, Flink, Hadoop, Hive
Passion for learning and continued self-development
At Zoom, we care about our employees, their families, and their well-being. 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.
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at firstname.lastname@example.org.
Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated. Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law.
At Zoom, we care about our employees, their families, and their well-being. 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. To view our benefits, click here.
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At Zoom, we are dedicated to delivering happiness and caring for our community, customers, employees, and environment. We seek to make the world a better place by providing technology that...Read more >
Zoom formally launched our Diversity, Equity, and Inclusion (DEI) program in the summer of 2020. It was important to take an honest look at our organization and all the ways...Read more >
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Fraudulent Employment Offers
Zoom is aware of scams that involve fake Zoom job listings posted on third-party sites. Responding applicants are contacted primarily over email, InMail and/or chat applications by people impersonating Zoom employees. Eventually a fake offer letter is sent in exchange for personal identification information as part of a fake new-hire screening process.
Please be advised that these offers, communications and impersonations are illegitimate and fraudulent. All communication with Zoom employees come from an “@zoom.us” email address. Zoom job applicants complete an interview process including in-person (on Zoom) meetings and phone calls. Our process also requires you to create an account with our applicant tracking system, Workday. If you have already completed an application, you can access it here.
Zoom will never ask for your personally identifying information during the interview process or ask you to pay money or purchase equipment. If you have received a message from Zoom that appears suspicious, please contact email@example.com.
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