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Trust & Safety Machine Learning Engineer
Trust & Safety Machine Learning EngineerZoom • San Jose, CA, United States
Trust & Safety Machine Learning Engineer

Trust & Safety Machine Learning Engineer

Zoom • San Jose, CA, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.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.

    Anticipated Position Close Date : 11 / 20 / 25

    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.

    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 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.

    Zoom

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