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 Webinars.
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.
As a member of the summarization team, you will advance state of the art text summarization, collaborate with expert industry partners on both hardware and models, and ultimately develop and maintain production systems that benefit hundreds millions of users!
5+ years of professional experience as an ML Engineer (2+ with PhD)
Professional or extensive academic experience with text summarization
BS & MS in Computer Science or related field
Ability to leverage large-scale compute resources, including distributed GPUs, to train and evaluate very large neural networks.
Familiarity with advanced models such as BERT
Working knowledge of machine learning techniques and algorithms, ranging from logistic regression to deep neural networks.
Professional experience with basic NLP, including techniques such as tokenization, lemmatization, and TF-IDF vectorization.
Ability to manage datasets and evaluate ML model performance, using train/test splits, cross-validation, and task-specific metrics.
Proficiency in Python, including basic skills such as setting up virtual environments, installing packages from PyPI, and debugging common problems using online resources.
Ability to create large software projects that are organized, well-structured, thoughtfully documented, and automatically tested.
Experience deploying machine learning models to production.
Proven record of working with open-source communities.
Familiarity with web frameworks such as Flask, Tornado, Starlette, or FastAPI.
PhD in Computer Science or related field
Help develop state-of-the-art abstractive text summarization systems using large language models (LLMs)
Manage data ingestion processes, oversee labeling efforts and monitor data quality to support your own machine learning models.
Proactively identify model failure cases and identify new approaches for improving our machine learning models.
Continued education about the latest machine learning algorithms, techniques, and technologies.
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 email@example.com.
Colorado Salary Range or On Target Earnings:
Maximum :$210,500.00 USD
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. Information about Zoom’s benefits is here. 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 other locations.
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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 a “@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.
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 firstname.lastname@example.org.
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