Staff Machine Learning Engineer, Technical Lead

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+ 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.

• Have understanding of search algorithms, ranking mechanisms, and information retrieval, specifically in context-driven search systems.

• Have experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or similar.

• Have 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:

Maximum:

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!

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.