We’re hiring a Head of Data Science Current Product Status Our AI-powered retail discovery platform is now live on the App Store following beta testing with 2,000 users. Since full launch just a few weeks ago, we’ve grown to ~1,000 active users. The platform enables two powerful discovery methods: • Natural language search (describe what you’re looking for) • Visual search (upload an image to find similar items) As we scale, visual search is our top product priority. We’re looking for a hands-on technical leader who can deliver across three core areas within six months: Support and optimize the existing system Drive roadmap feature development Build and implement production-ready AI systems Primary Requirement: Deep expertise in computer vision Secondary but essential: Conversational AI data transformation This is not a narrow research role. We need someone with broad AI fluency across: • Generative AI • Conversational AI • LLaMA and large model ecosystems • Data transformation & data engineering • Production ML systems We work with: • Structured & unstructured retail data • Labeled image datasets • Unlabeled conversational history (feedback integration is on our roadmap) You must be comfortable with: • AWS, Python, CI/CD, Terraform • Production ML pipelines • Embeddings, transfer learning, teacher-student learning • Large vision models and optimization for scale Red flags: • Generic “we’ll just improve the model” thinking • Only knowing basic PyTorch without broader ecosystem knowledge • No real-world deployment or scalability experience Team Environment • Data science team: 3 ( • Engineering team: 7 • Highly collaborative, execution-focused culture We need someone who can mentor junior team members, guide architecture decisions, and ship. If you’ve built and scaled real-world AI systems, not just research prototypes, please hit the apply button.