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.
About Us
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.
You 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 Speech to Text, translation, summarization, sentiment analysis, Text to Speech (TTS), Conversational AI and other interesting challenges that are challenging at Zoom's scale.
You will be one of the early members of the team, you will have a unique opportunity to drive the direction of our products.
Research , build and deploy state of the art Machine Learning models for Natural Language Processing use cases - most importantly Conversational Intelligence & Speech
Build large scale training and inference pipelines
Build and scale realtime Machine Learning (ML) services which enable Zoom’s products
Take ML models from Research all the way to production
Build metrics, dashboards to measure both ML and system performance
Build productivity tools and services for Research teams. This includes working on various tools like S3, MLFlow, Kubernetes, Docker, Pytorch etc
Integrate the ML services with product and operations teams, Salt stack, Kibana etc
Qualifications
Undergraduate degree in Computer Science, Electrical Engineering or related degree
2 plus years relevant work experience
Strong coding skills in Python, C/C++, or Java
Experience with one or more of the following: Natural Language Understanding, speech analytics, chatbot, call summarization, intent classification, named entity recognition , conversational intelligence, Conversational AI, topic modeling, dialogue management
Experience in Machine Learning toolkits (TensorFlow, PyTorch)
Familiarity with large-scale data processing and distributed systems
Proven mathematical knowledge; understanding of machine learning, statistics
Relevant professional experience with applied data analytics and predictive modeling
Bonus Qualifications
Experience framework such as MLflow, Kubeflow, Airflow, Seldon Core, TFServing etc
Experience in distributed training and performance optimization on GPU’s
Expertise in crafting Data Models for high performance and scalability
Autoscaling, containers, performance tuning and optimization
Experience with Deep Learning for NLP
Strong verbal and written communication skills
Masters/PhD degree Computer Science, Machine Learning or related degree
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 careers@zoom.us.
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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View more jobs, sign up for job alerts and join our talent community. Visit the Zoom careers site.
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