Description

　　Are you excited about developing generative AI and foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for scientists, engineers and program managers for a variety of roles.

　　This role will work on Scene Perception for Inventory Quality and Robotic Manipulation. The individual will work on Foundation Models for computer vision for understanding of items (their characteristics) and their placement in clutter. This includes object detection and recognition, as well as building multi-modal models and building computer vision systems able to reason about sequences of images or video taken of a scene. It includes using machine learning to understand placement of objects, decision-making and several kinds of defect detection. It requires expertise in computer vision and methods to train large-scale vision-language foundation models (VLMs) or large language models, using data from many different tasks and scenes.

　　Key job responsibilities

　　Drive research focus and vision, mentor junior scientists

　　Provide technical leadership, inventing machine learning and computer vision for new, scalable solutions

　　Design, develop and evaluate highly innovative models and develop publication strategy

　　Work across organizational boundaries to share knowledge with other scientists at Amazon

　　About the team

　　The AFT AI team has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch.

　　We are open to hiring candidates to work out of one of the following locations:

　　Bellevue, WA, USA

　　Basic Qualifications

　　PhD in computer science, other highly quantitative field

　　5+ years building machine learning models

　　Preferred Qualifications

　　Experience applying deep neural networks to computer vision problems

　　Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications

　　Experience handling gigabyte and terabyte size datasets

　　Experience with large scale models including multi-machine model training and evaluation, training efficiency analysis, and distilling models for production deployment

　　Experience with cross-domain/multi-task model training including datasets from diverse sources, balancing many axes of measurement in evaluation, and deploying to multiple products.

　　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.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $159,100/year in our lowest geographic market up to $309,400/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. Applicants should apply via our internal or external career site.