Sr Applied Scientist, Computer Vision, Chime ATG Video AI

East Palo Alto, California, USA

Full Time Senior-level / Expert
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Job summary
The Chime Advanced Technology Group (ATG) Video AI team is looking for computer vision scientists to develop machine learning based video processing algorithms for real-time communications and other use cases.

Our charter is to think big, re-imagine, re:Invent, problem solve, innovate and deliver novel, state-of-the-art solutions to video processing problems. We are interested in all aspects of video processing technology, and we leverage the latest Deep Learning techniques to surprise and delight our customers. Our applications include real-time communications, scene analysis, enhancement, and coding. As we innovate on behalf on customers; and publish to benefit from the scientific community's efforts.

We reach our customers in multiple ways. Our work feeds directly into the Amazon Chime SDK, which powers video calls for major communication platforms, and has worldwide adoption and rapid growth. We also contribute Amazon Chime Meetings and power other AWS and Amazon multimedia offerings. In addition, we are building and launching new standalone AWS cloud services to put our technology directly into the hands of builders and customers. We have the nimbleness of a small startup outfit, but, at the same time, the immense resources of AWS - the world leader in cloud computing - behind us as well. If you want to have a profound and direct impact on the end customer experience, this is the team to be on!

There is flexibility for different work locations.

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Harmony
Our team puts a high value on sustainable work habits. It isn’t about how many hours you spend working; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We develop each team member through individual mentorship, and help them specialize deeper with focused individual ownership, or become more well-rounded with responsibilities across applied science, software engineering, or product development.

Basic Qualifications


· PhD in a science field, plus 5+ years of relevant industry experience, or
· or, PhD in ML / Computer Vision, plus 3+ years of relevant industry experience
· Fluency in Python and deep learning frameworks


Preferred Qualifications

· Track record in developing video processing algorithms
· Track record of publishing state-of-the-art methods
· Excellent software engineering skills, including with working with at-scale data





Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Job region(s): North America
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