Amazon
Senior Applied Scientist, Amazon Beauty Tech
Amazon, Seattle, Washington, us, 98127
Senior Applied Scientist, Amazon Beauty Tech
Job ID: 2621618 | Amazon.com Services LLC - A57Technology 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. This is your chance to get in on the ground floor to build something entirely new and transform an industry!
To achieve our vision, we think big and tackle technological challenges every day. We need builders and disruptors who are not afraid to innovate! Our architecture and development processes support rapid experimentation, global deployments, and self-service capabilities that allow us to scale better.
Key job responsibilitiesWe are looking for talented and innovation-driven scientists who are passionate about leveraging the latest advances in Computer Vision (CV), Graphics, AR/VR, Virtual Try-On, Generative AI, Diffusion Models, Image Processing, 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 problems 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.
About the teamAmazon 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; we are never afraid to propose big ideas for fear of failing!
BASIC QUALIFICATIONS
- 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 neural deep learning methods and machine learningPREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- 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.- Top tier AI publications is a strong plus.
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.
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Job ID: 2621618 | Amazon.com Services LLC - A57Technology 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. This is your chance to get in on the ground floor to build something entirely new and transform an industry!
To achieve our vision, we think big and tackle technological challenges every day. We need builders and disruptors who are not afraid to innovate! Our architecture and development processes support rapid experimentation, global deployments, and self-service capabilities that allow us to scale better.
Key job responsibilitiesWe are looking for talented and innovation-driven scientists who are passionate about leveraging the latest advances in Computer Vision (CV), Graphics, AR/VR, Virtual Try-On, Generative AI, Diffusion Models, Image Processing, 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 problems 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.
About the teamAmazon 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; we are never afraid to propose big ideas for fear of failing!
BASIC QUALIFICATIONS
- 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 neural deep learning methods and machine learningPREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- 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.- Top tier AI publications is a strong plus.
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.
#J-18808-Ljbffr