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Machine Learning Engineer
About This Role
About the TeamYou will be part of a team whose focus is to solve cutting edge AI problems and deploying models that constantly advance the state-of-the-art. You will be working across various Natural Language Processing (NLP) areas like summarization, topic segmentation, language modeling, coreference resolution and other interesting challenges that are challenging at Zoom's scale.
About the RoleA person in this role is expected to able to carry out independent research without much supervision, collaborate with other researchers on larger scale projects, and provide directions to junior engineers on their research/engineering tasks.
Build and scale Machine Learning (ML) services which enable Zoom’s productsResearch, build and deploy state-of-the-art Machine Learning models for Natural Language Processing use cases – mostly in the conversational domain.
Take ML models from research all the way to productionIntegrate and support the ML services with product and operations teams
PhD degree in Computer Science, Machine Learning, or related degree with 3+ years of relevant experience or Master with 6+ years of relevant experience
Strong coding skills in Python
Experience with one or more of the following: Natural Language Generation, Natural Language Understanding, summarization, topic modeling and segmentation, training/fine tuning large language models, transformer
Experience with Machine Learning toolkits (TensorFlow, PyTorch, Spacy, etc.)
Strong verbal and written communication skills
Experience in distributed training and performance optimization on GPU’s
Experience working on multi-modal ML
Familiarity with large-scale data processing and distributed systems.
Microservice, Docker, Kubernetes, REST API, AWS
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.
Information about Zoom’s benefits is on our careers page here ([ Link removed ] - Click here to apply to Machine Learning Engineer .
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.
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 ([ Link removed ] - Click here to apply to Machine Learning Engineer .
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.
Hear from our leadership team ([ Link removed ] - Click here to apply to Machine Learning Engineer
Browse Awards and Employee Reviews on Comparably
Visit our Blog ([ Link removed ] - Click here to apply to Machine Learning Engineer
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Find us on social at the links below and on Instagram ([ Link removed ] - Click here to apply to Machine Learning Engineer
View more jobs, sign up for job alerts and join our talent community. Visit the Zoom careers site ([ Link removed ] - Click here to apply to Machine Learning Engineer .
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 address blocked ] - Click here to apply to Machine Learning Engineer.
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