AI Software Engineer

Zoom; San Jose (CA); Hybrid; USD 265,000 - 332,000; Full time

Job summary

Zoom Communications, Inc. in San Jose, CA seeks a skilled machine learning engineer to develop and optimize ASR-based systems. You will translate algorithms into production-ready code, improve training pipelines on GPU clusters, and collaborate with product teams to deliver scalable, accurate solutions.

Requires a master's degree in CS and 4 years' experience in ASR, Conformer/RNN-T, GPU training, C++, and Python. This is a hybrid role with both on-site and remote work options within the U.S.

Qualifications

• Master's degree in Computer Science, related field, or foreign equivalent.
• 4 years of experience in ASR for live captioning.
• 4 years of experience with Conformer/RNN-T/Transformer encoders and Beam Search.
• 4 years of experience using GPUs across nodes for ASR training.
• 4 years of experience in C++ programming.
• 4 years of experience in Python programming.

Responsibilities

• Design and optimize ML models for new product development, including algorithm development and evaluation.
• Translate algorithms and specs into production-quality code across environments.
• Complete programming, testing and debugging, and documentation for installation and maintenance.
• Apply deep learning to enable computer perception and interactive experiences.

Skills

ASR experience

Conformer / RNN-T

GPUs for ASR training

C++ programming

Python programming

Education

Master's degree in Computer Science or related field

Job description

Immigration sponsorship is not available for this position

Responsibilities:

• In new product design roles, use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.

• In both theoretical development environments and specific product design, implementation, and improvement environments, use current programming language and technologies to translate algorithms and technical specifications into code.

• Complete programming and implement efficiencies, perform testing and debugging.

• Complete documentation and procedures for installation and maintenance.

• Apply deep learning technologies to give computers the capability to visualize, learn and respond to complex situations.

• Adapt machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.

• Work with large scale computing frameworks, data analysis systems and modeling environments.

• Having wide-ranging experience, use professional concepts and company objectives to resolve complex issues in creative and effective ways.

• Work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.

• Exercise judgment in selecting methods, techniques, and evaluation criteria for obtaining results.

• Networks with key contacts outside own area of expertise.

• Determine methods and procedures on new assignments and may coordinate activities of other personnel.

What we're looking for:

Requires a master’s degree in Computer Science, a related field, or a foreign equivalent. Must have 4 years of experience in job offered or related occupation. Must have 4 years of experience in the following:

• 4 years of experience in ASR (Automatic Speech Recognition) for live captioning;

• 4 years of experience in Conformer model structure, RNN-T (Recursive Neural Network – Transducer) Transformer Encoder, Beam Search, etc;

• 4 years of experience using GPUs across nodes for ASR training to improve the ASR training pipeline;

• 4 years of experience in C++ Programming;

• 4 years of experience in Python Programming for model training.

• Telecommuting work arrangement permitted: position may work in various unanticipated locations throughout the U.S. Position does not require domestic or international travel.

Zoom Communications, Inc.#LI-DNI#Ind0

Salary Range or On Target Earnings:

Minimum:

$264,514.00

Maximum:

$332,200.00

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.

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 (https://careers.zoom.us/benefits) 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.

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 (https://form.asana.com/?k=OIuqpO5Tv9XQTWp1bNYd8w&d=1127274756253361) 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.

Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement (https://www.zoom.com/en/trust/candidate-privacy-statement/) for more information of how we use your data.

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 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