Video Processing Algorithm Engineer

Posted:
8/25/2024, 8:10:32 PM

Location(s):
Hangzhou, Zhejiang, China ⋅ Zhejiang, China

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

Workplace Type:
Hybrid

About the Team:
As a Senior Video Processing Algorithm Engineer, you will explore opportunities to research and develop video process algorithms in order to both improve real-time video quality & performance, and add new features on Zoom video products. 

Work across our stack, developing software ranging from Web Server to business application layer for our distributed, cloud-hosted backend. You will work alongside fellow experts in the field, you will deliver happiness to our users, and grow your knowledge base each and every day.  


About the Role:

Responsibilities:
Conduct performance research evaluations on image/video processing algorithms 
Perform feasibility analysis and validation, develop corresponding demos, and cooperate with team members for feature deployment on various platforms
Develop and prototype innovative algorithms in Zoom’s video processing pipeline
Design new video features to tackle new and existing problems on Windows, macOS, IOS, Android and Linux systems
Collaborate with internal stakeholders across the business to drive the delivery of features, processes and happiness


About You:
Requirements:
PhD degree or Master degree with 4 years of working experiences in Computer Science, Electrical Engineering, or a related STEM field
Excellent C++/C and Python programming skills 
Strong experiences with libraries for deep learning, such as TensorFlow, PyTorch, Keras, Caffe, etc.
Solid knowledge of math, including linear algebra, numerical optimization, calculus, etc.
Hands-on experiences with video processing techniques (traditional method and deep learning method), such as image/video synthesis and generation (including text to image/video), image enhancement, 3-D video/multi-view video, etc.
Hands-on experiences in deep learning (neural network, neural rendering, generative model, discriminative model, transfer learning, one-shot or few shot learning, Neural Architecture Search, etc.)
Experience on deep learning structure (Transformer, CNN, RNN, etc.) optimization and acceleration
Ability to crystallize vague concepts into concise plans with clear documentation
Detail oriented, organized, ethical, responsible, and self-motivated
Strong communication skills and a desire to learn something new
 

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 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 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.

Maven Ventures

Website: https://mavenventures.com/

Headquarter Location: Palo Alto, California, United States

Employee Count: 1-10

Year Founded: 2013

Last Funding Type: Venture - Series Unknown

Industries: Consumer Lending ⋅ Consumer Software ⋅ Financial Services ⋅ FinTech ⋅ Software ⋅ Venture Capital