Machine Learning Engineer - Natural Language Understanding (NLU)

Machine Learning Engineer - Natural Language Understanding (NLU)

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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 Natural Language Processing (NLP) areas like Speech to Text, translation, summarization, sentiment analysis, Text to Speech (TTS), Conversational AI and other interesting challenges that are challenging at Zoom's scale.

You will be one of the early members of the team, you will have a unique opportunity to drive the direction of our products.

  • Research , build and deploy state of the art Machine Learning models for Natural Language Processing use cases - most importantly Conversational Intelligence

  • 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


  • 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 Understanding, speech analytics, chatbot, call summarization, intent classification, named entity recognition , conversational intelligence, Conversational AI, topic modeling, dialogue management

  • 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

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

  • Masters/PhD degree Computer Science, Machine Learning or related degree

Colorado Salary Range or On Target Earnings:


$94,410.00 USD

Maximum :

$174,600.00 USD

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 hereNote: 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 other locations.

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

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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