Sr. Applied Scientist, Elemental Video Engine

Key Skills

C++, Computer Vision (CV), Deep Learning, JavaScript, Machine learning techniques, MxNet, NumPy, Python Programming, R Programming, Scikit-learn, SciPy, TensorFlow

Job Description

AWS Elemental is an Amazon Web Services company that combines deep video expertise with the power and scale of the cloud. We are looking for a Senior Applied Scientist focused on video compression and filtering to build advanced video processing functions.

As an Applied Scientist, you will research and develop methods to improve our compression efficiency, video filters, and enabling new use cases for our customers. You’ll work on cutting edge compression technologies like AV1, HEVC, and high dynamic range video. You'll bring to production new broadcast grade AI based filters not possible before. You'll use AI to enable new applications for some of the largest media providers. You will work on a focused team with clear leadership and a direct ability to solve our customers’ problems and enable their success. Your work will have a broad reach. Your designs will process thousands of video streams around the world, and the final output will be enjoyed by millions of viewers.

Key job responsibilities

• Improving the quality per bit in our home-grown video encoders, utilizing traditional and AI techniques.
• Design improved video filters, whether this be a scaler, deinterlacer, or a brand new perceptual filter.
• Enable new workflows for our customers, allowing them to extract information from their content

About the team

• We are the Elemental Video Engine team, responsible for everything that happens to a pixel in the AWS media services MediaLive and MediaConvert, as well as AWS Elemental appliances. These services and appliances are trusted by some of the biggest names in the industry to reliably deliver the best video quality per bit.

• We are an experienced team, currently distributed between Portland, Oregon; Vancouver, British Columbia; and San Jose, California. We are doers: we focus on solving customer problems by dreaming up new ideas and seeing them through to production.

Why AWS

• Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences

• Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance

• We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

• Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

• We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

BASIC QUALIFICATIONS

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 3+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning
• Experience with computer vision

PREFERRED QUALIFICATIONS

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience using ML in video compression
• Experience designing video filters

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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.