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Machine Learning Engineer Job at Zoom Video Communications in San Jose
Machine Learning Engineer Job at Zoom Video Communications in San JoseMediabistro • San Jose, CA, United States
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Machine Learning Engineer Job at Zoom Video Communications in San Jose

Machine Learning Engineer Job at Zoom Video Communications in San Jose

Mediabistro • San Jose, CA, United States
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Overview

Immigration sponsorship is not available for this position.

Machine Learning Engineer

What you can expect

As a Machine Learning Engineer on our Trust and Safety 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 Trust and Safety domain. Working closely with experienced researchers and engineers, you'll be part of a dynamic team dedicated to achieving groundbreaking results.

About the Team

The Trust and Safety Engineering team is committed to protecting users from being abused. We are passionate about leveraging cutting-edge technology to drive significant advancements in providing a safe environment for users.

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

  • Have minimum of 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, Java.
  • Be proficient in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.
  • 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

    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.

    Anticipated Position Close Date

    09 / 30 / 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. Learn more.

    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.

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    Machine Learning Engineer • San Jose, CA, United States

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