Machine Learning Engineer, CreativeX

The CreativeX RAPID (Real-time Ad Personalization & Insights Development) team at Amazon is seeking passionate and talented Machine Learning Engineers to join their mission of enabling brands to create, serve, measure, and optimize creative content with ease.

The team is responsible for tailoring the visual experience of ads in real-time, using cutting-edge technologies such as latent diffusion models, large language models (LLM), reinforced learning (RL), and computer vision. Their goal is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers.

Key responsibilities include:

• Quickly acquiring knowledge of cutting-edge Generative AI technologies to solve complex problems in Dynamic Creative Optimization (DCO)
• Investigating design approaches, prototyping new technologies, and evaluating their technical feasibility (e.g., Auto ML, real-time ML serving systems)
• Collaborating with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models
• Developing and maintaining platforms for developing, evaluating, and deploying machine learning models for real-world applications

The ideal candidate should have:

• 3+ years of non-internship professional software development experience
• 2+ years of experience in design or architecture of new and existing systems
• Experience programming with at least one software programming language
• 3+ years of full software development life cycle experience (preferred)
• Bachelor's degree in computer science or equivalent (preferred)

Amazon offers a competitive compensation package, with base pay ranging from $129,300 to $223,600 per year, depending on the geographic market. The company also provides equity, sign-on payments, and a full range of medical, financial, and other benefits.

This role offers an exciting opportunity to work on cutting-edge AI technologies and make a significant impact in the field of dynamic creative optimization for advertising. Join Amazon's innovative team and contribute to shaping the future of personalized ad experiences.