Applied Scientist
Bengaluru, Karnataka, IND
4d ago

Prime Video is disrupting the traditional television and movie industry with a growing library of high-quality media. Prime Video launched in 2007 and has quickly become a strategic priority for the company, reflected in the service’s recent expansion into over 240 countries and territories worldwide.

We boast one of the largest video catalogs in the world, and the storage and delivery scale is truly mind-boggling.

We would love to have you join us to build models that stretch the limits of video and audio compression. We are building state of the art models and algorithms to make compressed video smaller and better, and deliver industry-leading innovations in the measurement and understanding of perceptual audio and video quality.

As a member of our team, you will apply your deep knowledge of Computer Vision and Machine Learning to concrete multimedia problems that have broad cross-organizational, global, and technology impact.

Your work will focus on retrieving, cleansing and preparing large scale datasets, training and evaluating models and deploying them to production, with continuous monitoring and evaluation.

You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction.

You must be equally comfortable with digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models.

You consistently bring strong, data-driven business and technical judgment to decisions.

You will work with internal and external stakeholders, cross-functional partners, and end-users around the world at all levels.

Our team makes a big impact because nothing is more important to us than pleasing our customers, continually earning their trust, and thinking long term.

You are empowered to bring new technologies and deep learning approaches to your solutions.

  • MS in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
  • Strong fundamentals in problem solving, algorithm design and complexity analysis
  • Maintain an understanding of industry and technology trends in area of research.
  • Understand business context to decisions made within and across groups.
  • Strong personal interest in learning, researching, and creating new technologies with customer impact
  • Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
  • Proven track record in technically leading and mentoring scientists as well as engineers
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