Demo

Zoom Video Communications is hiring: Staff Machine Learning Engineer, Technical

Zoom Video Communications
San Jose, CA Full Time
POSTED ON 3/3/2025
AVAILABLE BEFORE 5/25/2025

Content Summary : Staff Machine Learning Engineer, Technical Lead at San Jose, for Zoom Video Communications

Machine Learning Engineer - AI Search

What you can expect

Zoom is looking for an innovative and skilled Machine Learning Engineer to join our Search team. The focus will be on improving how Zoom's AI Companion generates useful, actionable answers.

About the Team

The GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion functionalities. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.

Responsibilities

  • Develop and implement advanced machine learning techniques, including Retrieval-Augmented Generation (RAG), to enhance search systems.
  • Build AI-driven search solutions that improve information retrieval and enable Zoom AI Companion to generate personalized, context-aware responses.
  • Improve AI capabilities to interpret, prioritize, and act on retrieved data, delivering clear and actionable insights to users.
  • Enhance Zoom AI Companion’s ability to provide intelligent summaries, action items, and insights from meetings, chats, files, and shared content.
  • Collaborate with product managers, engineers, and research scientists to create powerful, context-driven search solutions.
  • Strengthen the search foundation of Zoom’s AI Companion to deliver advanced meeting insights, actionable recommendations, and support decision-making.

What we’re looking for

  • Bachelor’s or higher in Computer Science, Engineering, Mathematics, Statistics, or a related technical field, or equivalent practical experience.
  • Have 4 years of hands-on experience in machine learning, particularly within search, ranking, information retrieval, or natural language processing (NLP).
  • Track record in building and deploying machine learning models in production, with experience in RAG (Retrieval-Augmented Generation) models or similar hybrid systems combining retrieval with generative models.
  • Core stack : Python, Java, C , or other programming languages for ML development.
  • Understanding of search algorithms, ranking mechanisms, and information retrieval, specifically in context-driven search systems.
  • Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or similar.
  • Experience working on large-scale search or recommendation systems for consumer-facing applications (e.g., messaging platforms, video conferencing, or cloud-based productivity tools).
  • Salary Range or On Target Earnings :

    Minimum : $143,000.00

    Maximum : $312,800.00

    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.

    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.

    At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!

    Anticipated Position Close Date : 02 / 25 / 25

    Ways of Working

    Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description / posting.

    Benefits

    As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.

    About Us

    Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform 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.

    Our Commitment

    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 and any qualified applicants requiring reasonable accommodations in accordance with the law.

    If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

    J-18808-Ljbffr

    Salary : $143,000

    If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
    Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right. Surveys & Data Sets

    What is the career path for a Zoom Video Communications is hiring: Staff Machine Learning Engineer, Technical?

    Sign up to receive alerts about other jobs on the Zoom Video Communications is hiring: Staff Machine Learning Engineer, Technical career path by checking the boxes next to the positions that interest you.
    Income Estimation: 
    $149,493 - $192,976
    Income Estimation: 
    $184,796 - $233,226
    Income Estimation: 
    $77,900 - $95,589
    Income Estimation: 
    $101,387 - $124,118
    Income Estimation: 
    $101,387 - $124,118
    Income Estimation: 
    $119,030 - $151,900
    Income Estimation: 
    $119,030 - $151,900
    Income Estimation: 
    $149,493 - $192,976
    View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles Skills Library

    Job openings at Zoom Video Communications

    Zoom Video Communications
    Hired Organization Address Seattle, WA Full Time
    What you can expect As a Research Scientist, you will shape Zoom AI's future via groundbreaking research. Incubate AI mo...
    Zoom Video Communications
    Hired Organization Address Seattle, WA Full Time
    What you can expect As a Research Scientist, you will shape Zoom AI's future via groundbreaking applied research works. ...

    Not the job you're looking for? Here are some other Zoom Video Communications is hiring: Staff Machine Learning Engineer, Technical jobs in the San Jose, CA area that may be a better fit.

    Staff Machine Learning Engineer, Technical Lead

    Zoom Video Communications, San Jose, CA

    Machine Learning Engineer - AIC Core

    Zoom Video Communications, San Jose, CA

    AI Assistant is available now!

    Feel free to start your new journey!