Trust & Safety Machine Learning Engineer
Company: Zoom
Location: San Jose
Posted on: April 1, 2026
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Job Description:
Machine Learning Engineer What you can expect As a Machine
Learning Engineer on our team, you will play a critical role in
shaping the future of Zoom AI through innovative engineering
solutions. About the Team With eight specialized departments, the
engineering team functions as a highly collaborative, diverse
powerhouse. Each department mission is to deliver seamless and
innovative communication solutions. These range from software
development and machine learning to quality assurance teams that
work to create and maintain Zoom's user-friendly interfaces and
robust infrastructure. The team continues to push the boundaries of
communication technology, bringing people together regardless of
their physical distance. Responsibilities Designing, implementing,
and optimizing AI/ML algorithms, techniques and solutions to
address complex business challenges. Collaborating with
cross-functional teams to integrate research findings into scalable
engineering solutions that align with business objectives.
Participating in code reviews, design discussions, and technical
presentations to ensure the quality and reliability of our
engineering solutions. Identifying opportunities for improvement in
existing systems and proposing innovative solutions to enhance
performance, scalability, and reliability. Staying up-to-date with
the newest developments in AI/ML research and engineering to
continuously improve our technical capabilities. What we’re looking
for Demonstrate 5 Years of professional experience and a Master’s
Degree or PhD in Computer Science, AI, Machine Learning, or a
related field Be proficient in one or more programming languages
such as Python. Be proficient in machine learning concepts,
algorithms, and techniques, with hands-on experience in developing
and deploying machine learning models. Experience with natural
language processing (NLP). Understand deep learning frameworks such
as PyTorch, TensorFlow, or similar. Demonstrate AI dedication
through sharing academic or personal AI projects and enthusiasm for
new possibilities. Able to effectively collaborate with
cross-functional teams and present technical concepts to both
technical and non-technical audiences. Salary Range or On Target
Earnings: Minimum: $137,700.00 Maximum: $275,400.00 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: 04/02/26 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. Find room to
grow with opportunities to stretch your skills and advance your
career in a collaborative, growth-focused environment. Our
Commitment? At Zoom, we believe great work happens when people feel
supported and empowered. We’re committed to fair hiring practices
that ensure every candidate is evaluated based on skills,
experience, and potential. If you require an accommodation during
the hiring process, let us know—we’re here to support you at every
step. 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.
Keywords: Zoom, Vacaville , Trust & Safety Machine Learning Engineer, IT / Software / Systems , San Jose, California
