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.
Responsibilities :
Build and deploy state of the art ML models for NLP use cases - primarily speech
Build large scale training and inference pipelines
Build and scale realtime 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
Work closely with the Research teams build required tools and services to make them productive
Work closely with the product and operations teams to integrate ML services seamlessly into the products
Work closely with various teams on data acquisition, cleanup and related tooling
Qualifications
3+ years of experience with Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
Strong coding skills in Python, C/C++, or Java
Experience with one or more of the following: Natural Language Processing, text understanding, classification, ranking systems or similar
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 modelling
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
Please note : This job opportunity is based out of Karlsruhe, Germany
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 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.
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