Machine Learning Engineer
Company: Zoom
Location: San Jose
Posted on: November 13, 2024
Job Description:
What you can expectAs a Machine Learning Engineer on our GenAI
Engineering team, you will play a critical role in shaping the
future of Zoom AI through innovative engineering solutions. You'll
take the lead in developing and enhancing AI algorithms,
techniques, and solutions for our AI Companion product. Working
closely with experienced researchers and engineers, you'll be part
of a dynamic team dedicated to achieving groundbreaking
results.About the TeamThe 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
- Designing, implementing, and optimizing GenAI 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 GenAI
research and engineering to continuously improve our technical
capabilities.What we're looking for
- Possess a Bachelor's or Master's degree in Computer Science,
AI, Machine Learning, Distributed Systems, or a related field.
- Be proficient in one or more programming languages such as
Python, C, C++, or CUDA, with experience in building scalable
software systems.
- 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:
$122,200.00Maximum: $244,500.00In 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.Ways of WorkingOur
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.BenefitsAs 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.About UsZoomies 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 CommitmentWe 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 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.Think of this
opportunity as a marathon, not a sprint! We're building a strong
team at Zoom, and we're looking for talented individuals to join us
for the long haul. No need to rush your application - take your
time to ensure it's a good fit for your career goals. We
continuously review applications, so submit yours whenever you're
ready to take the next step.
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Keywords: Zoom, Vallejo , Machine Learning Engineer, Engineering , San Jose, California
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