Applied Scientist II, Visual Search Science

Amazon Search is building a first-of-its-kind AI-powered visual search experience that lets customers describe products theyre imagining instantly see AI-generated images in response and tap those images to search for matching products to shop. We are transforming the search engine into a shopping engine by leveraging advances in generative AI and multimodal understanding.

We are seeking an Applied Scientist II to join the Visual Search Science team and push the boundaries of generative AI and multimodal retrieval at Amazon scale. You will work at the intersection of diffusion models large language models (LLMs) and multimodal search to build systems that generate product visualizations in real time and connect them to Amazons billions-scale catalog. The ideal candidate has deep expertise in one or more of the following areas: text-to-image generation multimodal retrieval LLM-based classification AI safety and content moderation or retrieval-conditioned generation. You will operate with startup-level autonomy backed by the resources of Amazon Search serving hundreds of millions of customers worldwide.

Key job responsibilities
You will design train and optimize generative AI models for real-time product image generation ensuring outputs meet strict latency requirements while maintaining high visual quality and query alignment. You will develop multimodal retrieval systems that connect AI-generated images to Amazons billions-scale product catalog optimizing for recall and ranking relevance across product categories. A core part of the role involves building LLM-based classifiers for visual intent detection query understanding and safety filtering within real-time latency budgets. You will advance AI safety science through defense-in-depth approaches including embedding-space classifiers adversarial data engines and post-generation content moderation. You will design and execute large-scale online experiments to measure impact on customer engagement search success and business metrics defining evaluation frameworks that combine automated metrics with human judgment. You will collaborate with engineering product and design teams to architect GPU-intensive inference pipelines serving real-time traffic at scale and contribute to Amazons scientific community through publications and patents.

About the team
The Visual Search Science team is pioneering generative AI for shopping within Amazon Search. We sit at the intersection of computer vision natural language processing and information retrieval building systems that help customers visualize what theyre looking for and seamlessly discover matching products. Our team operates with speed and autonomy while leveraging Amazons massive scale GPU infrastructure and product catalog. We are a tight-knit group of scientists and engineers who value rigorous experimentation creative problem-solving and shipping innovations that customers love. We collaborate closely with partner teams across Search organization.

- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

- Experience using Unix/Linux
- Experience in professional software development
- Experience developing and implementing deep learning algorithms particularly with respect to computer vision algorithms
- Have publications on top-tier conferences such as CVPR ICCV ECCV or NeurIPS

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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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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 CA Palo Alto - 171600.00 - 222200.00 USD annually