Applied Scientist, Computer Vision

Seattle, Washington, USA

Full Time
Amazon.com logo
Amazon.com
Apply now Apply later

Posted 1 week ago

Amazon Prime Video is changing the way millions of customers enjoy digital content. Prime Video delivers premium content to customers through purchase and rental of movies and TV shows, unlimited on-demand streaming through Amazon Prime subscriptions, add-on channels like Showtime and HBO, and live concerts and sporting events like NFL Thursday Night Football. In total, Prime Video offers nearly 200,000 titles and is available across a wide variety of platforms, including PCs and Macs, Android and iOS mobile devices, Fire Tablets and Fire TV, Smart TVs, game consoles, Blu-ray players, set-top-boxes, and video-enabled Alexa devices. Amazon believes so strongly in the future of video that we've launched our own Amazon Studios to produce original movies and TV shows, many of which have already earned critical acclaim and top awards, including Oscars, Emmys and Golden Globes.

The Global Consumer Engagement team within Amazon Prime Video builds product and technology solutions that drive customer activation and engagement across all our supported devices and global footprint. We obsess over finding effective, programmatic and scalable ways to reach customers via a broad portfolio of both in-app and out-of-app experiences.

We would love to have you join us to build models that can classify and detect content available on Prime Video. We need you to analyze the video, audio and textual signal streams and improve state-of-art solutions while being scalable to Amazon size data. We need to solve problems across many cultures and languages, working alongside an operations team generating labels across many languages to help us achieve these goals. Our team consistently strives to innovate, and holds several novel patents and inventions in the motion picture and television industry. We are highly motivated to extend the state of the art.

As a member of our team, you will apply your deep knowledge of Computer Vision and Machine Learning to concrete problems that have broad cross-organizational, global, and technology impact. Your work will focus on addressing fundamental computer vision models like video understanding and video summarization in addition to building appropriate large scale datasets. 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.

We embrace the challenges of a fast paced market and evolving technologies, paving the way to universal availability of content. You will be encouraged to see the big picture, be innovative, and positively impact millions of customers. This is a young and evolving business where creativity and drive will have a lasting impact on the way video is enjoyed worldwide.

Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age





Basic Qualifications


· PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
· 2+ years of experience of building machine learning models for business application
· Experience programming in Java, C++, Python or related language
· MS Degree in Computer Science, Computer Vision, Machine Learning, Statistics or a related quantitative field.
· Depth and breadth in state-of-the-art machine learning technologies.
· 5+ years of professional experience working with Computer Vision and/or Machine Learning.
· Hands-on professional experience with Deep Learning, Computer Vision, NLP or speech processing.
· Strong knowledge and development experience with learning algorithms
· Experience with the full machine learning lifecycle.
· Experience with Spark, Python, Deep learning frameworks (e.g MXNet, PyTorch, TensorFlow, etc.).

Preferred Qualifications

· PhD in Computer Science, Computer Vision, Machine Learning, Statistics or a related quantitative field.
· Publications at top-tier peer-reviewed conferences or journals.
· Proven track record of innovation in developing learning algorithms and applying them to to large scale system improvement.
· Meets/exceeds Amazon’s leadership principles requirements for this role.
· Meets/exceeds Amazon’s functional/technical depth and complexity for this role.

Job tags: Computer Vision Deep Learning Engineering Java Machine Learning ML MXNet NLP Python PyTorch Spark TensorFlow