Machine Learning Engineer

Engineering (EN)

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Machine Learning Engineer

  • R11052
  • Remote, United States
  • Bay Area, California, United States
  • Engineering (EN)
  • Full time

Work Styles at Zoom

In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles.

About Us

Zoomies help people stay connected so they can get more done together. We set out to build the best video product 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.

About the Team
You will be part of a team whose focus is to solve cutting edge AI problems and deploying models that constantly advance the state-of-the-art. You will be working across various Natural Language Processing (NLP) areas like summarization, topic segmentation, language modeling, coreference resolution and other interesting challenges that are challenging at Zoom's scale.
 

About the Role
A person in this role is expected to able to carry out independent research without much supervision, collaborate with other researchers on larger scale projects, and provide directions to junior engineers on their research/engineering tasks.
Build and scale Machine Learning (ML) services which enable Zoom’s products
Research, build and deploy state-of-the-art Machine Learning models for Natural Language Processing use cases – mostly in the conversational domain
Take ML models from research all the way to production
Integrate and support the ML services with product and operations teams
 

About You
Basic Qualifications

  • PhD degree in Computer Science, Machine Learning, or related degree with 3+ years of relevant experience or Master with 6+ years of relevant experience

  • Strong coding skills in Python

  • Experience with one or more of the following: Natural Language Generation, Natural Language Understanding, summarization, topic modeling and segmentation, training/fine tuning large language models, transformer

  • Experience with Machine Learning toolkits (TensorFlow, PyTorch, Spacy, etc.)

  • Strong verbal and written communication skills

Preferred Qualifications

  • Experience in distributed training and performance optimization on GPU’s

  • Experience working on multi-modal ML

  • Familiarity with large-scale data processing and distributed systems.

  • Microservice, Docker, Kubernetes, REST API, AWS

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. 

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 any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at careers@zoom.us.

At Zoom, we care about our employees, their families, and their well-being. 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. To view our benefits, click here.

Explore Zoom:

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Fraudulent Employment Offers

Zoom is aware of scams that involve fake Zoom job listings posted on third-party sites. Responding applicants are contacted primarily over email, InMail and/or chat applications by people impersonating Zoom employees. Eventually a fake offer letter is sent in exchange for personal identification information as part of a fake new-hire screening process.

Please be advised that these offers, communications and impersonations are illegitimate and fraudulent. All communication with Zoom employees come from a “@zoom.us” email address. Zoom job applicants complete an interview process including in-person (on Zoom) meetings and phone calls. Our process also requires you to create an account with our applicant tracking system, Workday.

Zoom will never ask for your personally identifying information during the interview process or ask you to pay money or purchase equipment. If you have received a message from Zoom that appears suspicious, please contact careers@zoom.us. 

 

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