Senior Scientist, Innovation Research

2 weeks ago

Vancouver BC, Canada Amazon Full time

Senior Applied Scientist, Amazon Beauty Tech
Technology is giving the beauty industry a makeover Are you interested to disrupt and redefine the way customers buy Beauty products online? Are you interested in using the latest advances in machine learning, computer vision, and big-data technologies to build online customer experiences for Beauty products that can equal or even surpass an in-store experience? Amazon Beauty is reinventing the shopping experience for all beauty customers across the largest selection of brands to become the most trusted beauty destination. Beauty is unique in retail with a diverse customer set along with products that are emotional, fun, and creative. Our architecture and development processes support rapid experimentation, global deployments, and self-service capabilities that allow us to scale better.
All our technology needs to work at Amazon scale, serving millions of customers with millisecond-level latency.
- We will create elevated and immersive customer experiences that using cutting-edge UI-technologies and user-centric design patterns.
- Computer Vision and augmented reality (AR) experiences: We bring exciting experiences directly to the customer's mobile phone using their cameras and combinations of computer vision and AR.
- Data & analytics pipelines: Amazon is data-driven, and a robust data backbone is necessary for our systems. We are looking for talented and innovation-driven scientists who are passionate about leveraging the latest advances in either a) Generative AI, Diffusion Models, Computer Vision (CV), Image Processing, and related technologies, and/or b) Recommendation Systems (RecSys), Personalization algorithms, LLM-based RecSys, and related technologies, to solve customer problems in the Beauty space. You will have an opportunity to revolutionize the customer shopping experience across the world's most extensive catalog of beauty products. You will be directly responsible for leading the ideation, design, prototyping, development, and launch of innovative scientific solutions that address customer problem in the beauty and shopping space. You will closely partner with product managers, UX designers, engineers, and the broader Amazon scientific community to pioneer state-of-the-art solutions to extremely challenging problems in machine learning and computer vision. You will help hire, mentor, and develop the best and brightest science and engineering talent while our organization rapidly continues to expand. You will be our organization's Tech Evangelist and represent our organization in key internal and external AI, ML, CV or RecSys conferences.
Amazon Beauty Tech is a key and essential part of the Consumables organization and North America Stores. We are a passionate group of engineers, scientists, product managers, and designers who drive technological innovation to improve the customer shopping experience. We have a startup-like work culture where innovation is encouraged; 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 5+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with conducting research in a corporate setting
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Hands-on experience in building solutions for one or both of: a) Generative AI, CV, Diffusion Models; b) Recommendation Systems (RecSys), Personalization, Indexing, ANN, User Behavioral Modeling, Ranking Algorithms, and relevant technologies, hands-on LLM & NLP experience being a strong plus.
- Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. 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. Applicants should apply via our internal or external career site. 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.
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