Machine Learning Engineer - ASR / Automatic Speech Recognition at Zoom Video Communications
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), 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.
Build and deploy state of the art Machine Learning models for Natural Language Processing use cases - primarily 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
Build data pipeline for data acquisition, cleanup and related tooling.
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 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 modeling
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
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.
Hear from our leadership team
Browse Awards and Employee Reviews on Comparably
Visit our Blog
Zoom with us!
Find us on social at the links below and on Instagram