What you can expect

The Machine Learning Engineer will join Trust and Safety Engineering team. Here, you will play a critical role in shaping the future of Zoom AI through innovative engineering solutions. Youll 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, youll be part of a dynamic team dedicated to achieving groundbreaking results.

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 Zooms 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

Have 3+ years of professional experience and a MS in Computer Science, AI, Machine Learning, or a related field - or equivalent.
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 Range or On Target Earnings:

Minimum:

$122,200.00

Maximum:

$244,500.00

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:

11/14/24

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 everyones 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.

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