DESCRIPTION

The Visual Shopping (Videos) team is on a mission to revolutionize the customer shopping journey by integrating informative and engaging product video contents. We’re dedicated to making shopping more immersive and effortless, empowering customers to discover and evaluate products like never before. We aim to understand and recommend the most relevant video content to customers, aligning seamlessly with their shopping intents. To achieve this vision, we’re seeking an Applied Scientist with deep expertise in Machine Learning, particularly in Deep Learning, Recommender Systems, or Computer Vision. By joining our team, you’ll have the opportunity to shape the shopping experience for millions of Amazon customers, redefining what’s possible through the strategic integration of video throughout the customer journey.

Key job responsibilities
– Work backwards from customer needs to investigate and solve key problems and challenges in video understanding, video retrieval, and video recommendation.
– Innovate and leverage state-of-the-art machine learning science advancements to bring novel experiences to customers.
– Research and develop scalable machine learning solutions for millions of customers.

About the team
The Amazon Visual Shopping team aims to revolutionize the way customers shop online. Through innovative solutions like Amazon Lens, More Like This, Augmented Reality(AR) View in Your Room, and Videos in Search, we empower customers to effortlessly discover and evaluate items that truly resonate with them. Our Visual Search capabilities enable customers to shop directly from images, seamlessly translating visual inspiration into purchasing intent. Our AR solutions allow customers to visualize products in their space, building confidence in their purchasing decisions. Our Videos solutions equip customers with the information they need to explore and understand products through relevant product videos.

BASIC QUALIFICATIONS

– PhD, or Master’s degree and 5+ years of CS, CE, ML or related field experience
– Experience programming in Java, C++, Python or related language
– 3+ years of building machine learning models or developing algorithms for business application experience
– Skill and experience with deep learning, reinforcement learning, or recommendation system

PREFERRED QUALIFICATIONS

– Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
– Have publications at top-tier peer-reviewed conferences or journals
– Skill and experience with multimodal learning or video understanding; experiences with large scale online experiments

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.

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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/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.

USA, CA, Palo Alto