Machine Learning Engineer
Solve cutting edge Al problems and deploy models that constantly advance the state-of-the-art technology. Work across various Natural Language Processing (NLP) areas like Speech to Text, translation, summarization, sentiment analysis, Text to Speech, and other projects that are challenging at Zoom's scale. Build and deploy state of the art Machine Learning models for Natural Language Processing use cases. Build large scale training and inference pipelines. Build and scale real-time 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 including working on various tools like S3, MLFlow, Kubernetes, Docker, Pytorch, etc. Integrate the ML services with product and operations teams, Salt stack, Kibana, etc. Build data pipeline for data acquisition, cleanup and related tooling.
Minimum Education & Experience Requirements:
Requires a Bachelor’s degree in Robotics Engineering, Machine Learning Engineering, a related field, or a foreign equivalent. Must have 2 years of experience in job offered or related occupation. Must have 2 years of experience in deep learning and machine learning; software engineering; Python: PyTorch; speech recognition and audio processing; and git or other version of control software. Telecommuting work arrangement permitted: position may work in various unanticipated locations throughout the U.S.
Company Name: Zoom Video Communications, Inc.
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.
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.
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.
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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.