About the job
About Daydream
Daydream is an innovative chat-based shopping assistant exclusively tailored for fashion. Our aim is to revolutionize the way individuals discover and explore fashion by delivering a personalized, conversational experience powered by cutting-edge AI and natural language understanding.
Supported by leading investors such as Forerunner Ventures, Index Ventures, Google Ventures, and True Ventures, our dedicated team is passionate about redefining the future of shopping.
About the Role
As the Engineering Lead for Platform & AI, you will take ownership of several backend systems at Daydream. This includes managing the catalog data pipeline that drives our product index, overseeing the AI content pipeline that generates landing pages for ad campaigns, and developing the B2B integration layer that allows our search functionality on partner retail websites. Your work will primarily involve Python and Go, focusing heavily on LLM integration, with your contributions directly impacting our product.
Key Responsibilities:
Catalog Pipeline:
- Oversee the augmentation pipeline—a multi-step Polars system that executes ML models (image analysis, hero selection, swatches via Vertex AI), standardizes sizes, appends affiliate links, and writes to Delta Lake / GCS.
- Enhance catalog quality through OOS accuracy, hero image selection, and sizing coverage.
- Develop and maintain scrapers and mappers for over 100 fashion merchants across various platforms including Shopify and custom sites.
- Eventually, take charge of the enrichment layer, focusing on attribute extraction, taxonomy, and Elasticsearch indexing.
Content Generation Pipeline:
- Lead the AI content pipeline—a multi-step system utilizing LLM for topic generation, product matching, quality scoring, and landing page assembly.
- Enhance prompt quality and evaluate LLM output.
- Advance towards personalized content for logged-in users, email content, and broadened ad formats.
B2B Merchant Integration:
- Create and manage services that expose core Daydream capabilities to merchant partners.
- Deploy on Kubernetes utilizing Helm and ArgoCD.
In All Areas:
- Collaborate across teams to ensure seamless integration and functionality of systems.

