Develop and optimize AI pipelines - Build end-to-end inference and training pipelines leveraging cloud-based ML platforms
Drive experimentation and R&D - Lead research efforts to evaluate emerging models, architectures, and techniques (diffusion models, multimodal models, LoRA/PEFT fine-tuning) for production applicability
Establish best practices - Define standards for prompt engineering, model evaluation, data curation, and quality benchmarking across GenAI workflows
Mentor and influence - Provide technical leadership and mentorship to junior design technologists and raise the bar on technical excellence
Stakeholder partnership - Collaborate with applied science teams, product managers, and creative leadership to align AI capabilities with business goals and customer needs
A day in the life
A typical day as a Design Technologist III could include leading a model fine-tuning session for a custom image generation model, architecting a new service to deliver AI-generated content at scale, evaluating the latest open-source models for production readiness, building custom LoRA adapters for domain-specific style transfer, or reviewing technical designs with engineering and science partners. You might also spend time defining training data strategies, building evaluation frameworks for generated content quality, or prototyping new AI-powered creative tools. You are expected to operate with high ambiguity, make sound technical judgments independently, and influence across teams.
About the team
Our team is building one of the world's best online shopping experiences through photography, video, Generative AI, graphic design, 3D, and usability design - enabling millions of customers to make more informed purchasing decisions. We are a large and fast-growing network of teams focused on fashion and product photography, GenAI, photo retouching, graphic design, video and CGI production, and image services. We continually innovate and set new industry standards for showcasing products across multiple global marketplaces, pushing beyond the boundaries of traditional e-commerce photography and videography.
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience building complex software systems that have been successfully delivered to customers
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
Experience building production software applications or understanding software development, distributed systems, and systems architecture
Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members
Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda
Have an online portfolio demonstrating strong visual design skills and advertising experience across a range of media and platforms, along with work that reflects your design process
6+ years of front-end technologist, engineer, or UX prototyper experience
Bachelor's degree or above in computer science or equivalent
Hands-on experience with AI inference and training platforms (Fal AI, Replicate, Hugging Face, AWS SageMaker, or similar)
Knowledge of databases and AWS database services: ElasticSearch, Redshift, DynamoDB
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience as a mentor, tech lead or leading an engineering team
Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
Experience architecting/operating solutions built on AWS, or experience as a trainer and ability to manage a classroom of learners
Knowledge of technologies such as JavaScript/NodeJS, HTML/CSS, Responsive/Adaptive Design
Experience leading and influencing your team or organization, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
Experience working across teams and influencing teams that are not your own
Experience using managed ML/AI solutions
Experience in mentoring, leading, or managing more junior engineers
Master's degree, or PhD and 6+ years of building machine learning models for business application experience
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