Are you passionate about solving unique customer-facing problem at Amazon scale? Are you excited by developing and productionizing machine learning, deep learning algorithms and leveraging tons of Amazon data to learn and infer customer shopping patterns?
Do you enjoy working with a diverse set of engineers, machine learning scientists, product managers and user-experience designers?
If so, you have found the right match!
Virtual Try On (VTO) at Amazon Fashion & Fitness is looking for an exceptional Applied Scientist to join us to build our next generation virtual try on experience.
Our goal is to help customers evaluate how products will fit and flatter their unique self before they ship, transforming customers' shopping into a personalized journey of inspiration, discovery, and evaluation.
In this role, you will be responsible for building scalable computer vision and machine learning (CVML) models, and automating their application and expansion to power customer-facing features.
Key job responsibilities
- Tackle ambiguous problems in Computer Vision and Machine Learning, and drive full life-cycle of CV / ML projects.
- Build Computer Vision, Machine Learning and Generative AI models, perform proof-of-concept, experiment, optimize, and deploy your models into production.
- Investigate and solve exciting and difficult challenges in Image Generation, 3D Computer Vision, Generative AI, Image Understanding and Deep Learning.
- Run A / B experiments, gather data, and perform statistical tests.
- Work closely with software engineers and product managers to assist in productionizing your CV / ML models.
- Act as a mentor to other scientists on the team.
We are open to hiring candidates to work out of one of the following locations :
Sunnyvale, CA, USA
BASIC QUALIFICATIONS
- 4+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Experience building machine learning models or developing algorithms for business application.
- Specific Computer Vision skills in image recognition / classification / segmentation, human body modeling, image generation and representation learning.
Applied Scientist, Amazon Fashion & Fitness
Virtual Try On (VTO) at Amazon Fashion & Fitness is looking for an exceptional Applied Scientist to join us to build our next generation virtual try on experience. Are you passionate about solving unique customer-facing problem at Amazon scale? Are you excited by developing and productionizing machi...
Principal Applied Scientist, Ring
As a Principal Scientist in Ring and Blink, you will have deep subject matter expertise in the areas of Artificial Intelligence. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. Deep expertise in Computer Visi...
Applied Scientist
Amazon’s product search engine is one of the most heavily used services in the world, indexes billions of products, and serves hundreds of millions of customers world-wide. These foundation models are also used in downstream applications by various partner teams in Amazon Stores. ...
Principal Applied Scientist , Alexa AI | Natural Understanding
Principal Applied Scientist, Alexa AI | Natural Understanding. Are you excited by the idea of joining Alexa AI and playing a leading role in developing cutting-edge NLP technology to empower and delight millions of Alexa users around the world? If so, we'd love to hear from you! The Semantic Parsing...
Senior Applied Scientist
Amazon Next Generation Developer Experience (NGDE) Organization is looking for world class scientists and engineers to join its team working on AI4Code, LLM, and natural language processing. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple ...
Applied Scientist, ML_AI
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. AWS AI/ML...
Applied Scientist II - Rufus, Amazon
We are reimagining Amazon Search by introducing an interactive conversational experience that makes finding the perfect product easier than ever. You'll be working with talented scientists, and engineers to innovate on behalf of our customers. ...
Applied Scientist
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. Our custo...
Applied Scientist II, NGDE Science
AWS AI is looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Underst...
Senior Applied Scientist, ML_AI
Amazon is looking for world class scientists and engineers to join its AWS AI Labs working within natural language processing. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to ...