About this opportunity
Amazon lists this Machine Learning Engineer, Amazon opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job ID: | Amazon.com Services LLC
The CreativeX RAPID (Real-time Ad Personalization & Insights Development) team is seeking passionate and talented MLE to join us. CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in real-time, leveraging cutting-edge technologies such as latent diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and related methods.
Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers. We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences.
Key job responsibilities
Quickly acquire knowledge of cutting-edge technologies in Generative AI to solve complex problems in the Dynamic Creative Optimization (DCO) domain.
Investigate design approaches, prototype new technologies, and evaluate their technical feasibility, such as Auto ML, real-time ML serving systems.
Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models.
Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications.
BASIC QUALIFICATIONS
3+ years of non-internship professional software development experience.
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
Experience programming with at least one software programming language.
PREFERRED QUALIFICATIONS
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
Bachelor's degree in computer science or equivalent.
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.
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 this link for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. 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. For more information, please visit this link .
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Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.