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.
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 NLP areas like STT, translation, summarization, sentiment analysis, TTS, and other interesting challenges that are challenging at Zoom's scale. You will be one of the founding members of the team, you will have a unique opportunity to start from scratch and drive the direction of our products.
Ensure the ML team meets the needs of our internal and external customers and scale robust ML models.
Lead and grow a team of exceptional ML Engineers, focusing on enhancing, measuring, and recognizing performance
Drive the technical and organizational roadmap for the ML Engineering team
Facilitate and participate in the preparation of ML data sets
Guide the ML Engineer team in implementing fine tuning of models
Provides leadership in advanced engineering, ML science and analytics in the development of current or future products or technologies
3+ years of experience managing a ML team with a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
Hands on experience in Machine learning tools and techniques
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
Track record of setting roadmaps, priorities and measuring the progress in achieving them
Experience with one or more of the following: Speech, translation, text understanding, classification, ranking systems or similar
Proven familiarity with NLP approaches like W2V or Bert, which includes identifying the right KPIs and objective functions
Familiarity with large-scale data processing and distributed systems
Proven mathematical knowledge; understanding of machine learning, statistics
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 as well as 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.
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.
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