We invest in people who change the way the world works.

Interested in working with them?
Tell us about your professional DNA and get discovered by the amazing companies in our network.

AI Machine Learning Engineer - New Grad



Software Engineering, Data Science
San Francisco Bay Area, CA, USA
Posted on Wednesday, October 11, 2023

What you will do:

Be part of a team whose focus is to solve cutting edge AI problems and deploy 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.Will work on LLM for the Zoom major products.


  • Build and deploy state of the art ML models for NLP use cases

  • 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


  • Currently pursuing a Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related STEM field with an expectation that degree will be obtained by July 2024 or earlier

  • 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 with the large language models (LLMs) tuning and application

  • 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

Salary Range or On Target Earnings:





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 on our careers page here.

Note: 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 this and other locations.

About Us

Zoomies help people stay connected so they can get more done together. We set out to build the best video product for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.

We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.

Explore Zoom:

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.