DESCRIPTION
Amazon Device team is looking for a Senior Applied Science Manager to lead the development of computer vision algorithm on the Edge. In this role, you will be the leader of our passionate, talented, and inventive scientists, to develop industry-leading Computer Vision (CV), and drive them successfully to production for the benefit of millions of Amazon Devices users.
You will be our leader in our Boston office, and provide thought leadership to scientists and engineers to help invent and implement computer vision and machine learning algorithms. This is a unique, high visibility opportunity for a leader who wants to have business impact, and dive deep into computer vision problems. We are particularly interested in candidates with experience productizing edge-based computer vision systems.
As a Senior Manager, Applied Science, you bring structure to ambiguous business problems and use science, logic, and practical experience to decompose them into straightforward, scalable solutions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems; you're interested in learning; and you acquire skills and expertise as needed.
The ideal candidate is a strong, creative and highly-motivated Scientist with hands-on experience in leading multiple research and engineering initiatives. You balance technical leadership with strong business judgment to make the right decisions about technology, tools, and methodologies.
BASIC QUALIFICATIONS
MS/PhD degree in Computer Vision, Machine Learning, or related areas.
Proven track record of shipping computer vision systems
7+ years of working experience on computer vision systems in industry
3+ years of managing experience of scientists
5+ years of experience with, at least, one programming language such as C++, Python, Java
Strong business writing, verbal communication, and cross discipline collaboration skills
PREFERRED QUALIFICATIONS
Experience in working with edge-based computer vision algorithms
Experience managing software development engineers
Experience optimizing for short term execution while planning for long term technical capabilities. Ability and willingness to multi-task and learn new technologies quickly.
2+ years of hands-on experience as a senior-level scientist
Seattle, WA
Amazon.com, Inc. engages in the retail sale of consumer products and subscriptions in North America and internationally. The company operates through three segments: North America, International, and Amazon Web Services (AWS) segments. It sells merchandise and content purchased for resale from third-party sellers through physical stores and online stores.
The company also manufactures and sells electronic devices, including Kindle e-readers, Fire tablets, Fire TVs, and Echo devices; provides Kindle Direct Publishing, an online service that allows independent authors and publishers to make their books available in the Kindle Store; and develops and produces media content.
In addition, it offers programs that enable sellers to sell their products on its Websites, as well as their own branded Websites; and programs that allow authors, musicians, filmmakers, skill and app developers, and others to publish and sell content. Further, the company provides compute, storage, database, and other AWS services, as well as compute, storage, database offerings, fulfillment, publishing, digital content subscriptions, advertising, and co-branded credit card agreement services.
Additionally, it offers Amazon Prime, a membership program, which provides free shipping of various items; access to streaming of movies and TV episodes; and other services. It serves consumers, sellers, developers, enterprises, and content creators. Amazon.com, Inc. has a strategic partnership with Volkswagen AG. The company was founded in 1994 and is headquartered in Seattle, Washington.