Applied Scientist, GenAI Evaluation Media

Description

We are seeking an Applied Scientist to join our Generate AI Visual Media - Core Experiences Science team. This organization drives significant business value by revolutionizing how customers interact with product imagery and videos across Amazon. Working at the intersection of Computer Vision and Generative AI, you will help customers make confident purchase decisions through optimized visual content. Our goal is to transform shopping into a personalized journey of inspiration, discovery, and evaluation by helping customers evaluate how products will fit and flatter their unique self before they ship. 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.

We are seeking domain expertise specifically in 3D Generative AI and Inverse Rendering. Relevant topics include Neural Fields, Implicit 3D Representations, NeRFs, Differentiable Rendering / Simulation, and Physically Based Rendering (PBR) Materials. We expect strong expertise at the intersection of Computer Graphics, Computer Vision, and Deep Learning. An inclination towards Generative AI, such as GANs, VQ-VAE / GAN, and Diffusion Models, is essential. Additionally, experience in application-specific domains such as Neural Avatars, Parametric Body Models, and Differentiable Rendering / Simulation will be highly advantageous.

Key job responsibilities

Explore, collect, and process data

Frame and transform ambiguous business challenges into science hypotheses. Design and implement offline and online experiments to evaluate them

Develop prototypes to test new concepts / proposals for models and algorithms

Design and build automated, scalable pipelines to train and deploy ML models

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

Experience in any of the following areas : algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

Experience in patents or publications at top-tier peer-reviewed conferences or journals

Experience with popular deep learning frameworks such as Tensor Flow and PyTorch.

Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.

Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https : / / amazon.jobs / content / en / how-we-hire / accommodations for more information. If the country / region you're applying in isn't listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https : / / amazon.jobs / en / benefits .

USA, CA, Sunnyvale - 171,600.00 - 222,200.00 USD annually

USA, NY, New York - 172,400.00 - 223,400.00 USD annually

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually