You will be part of a team whose focus is solving 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 have a unique opportunity to start from scratch and drive the direction of our products.
Pursuing a 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
Some experience with applied data analytics and predictive modeling
Experience framework such as MLflow, Kubeflow, Airflow, Seldon Core, TFServing etc
Experience in monitoring and performance analysis of Machine Learning AI and GPU server platforms
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
Ensuring a diverse and inclusive workplace where we learn from each other is core to Zoom’s values. 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.
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.
All your information will be kept confidential according to EEO guidelines.
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