Daydream

Data Scientist

Daydream

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York

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Job Level

Mid-LevelSenior

Tech Stack

PythonPyTorchTensorflow

About the role

  • Design, build, and deploy core features for our AI stylist using advanced techniques like Retrieval-Augmented Generation (RAG) and LLM-powered agents.
  • Own the end-to-end lifecycle of our models, from data processing and fine-tuning to creating robust evaluation frameworks that measure quality and accuracy.
  • Masterfully craft and iterate on prompts to shape the AI's persona, ensuring it embodies the voice and expertise of a world-class fashion consultant.
  • Collaborate closely with product, design, and engineering teams to translate user needs and creative concepts into tangible, production-ready AI features.
  • Champion rapid, hypothesis-driven experimentation, embracing the freedom to take calculated risks, test bold ideas, and pivot quickly to discover breakthrough user experiences.
  • Stay at the forefront of the rapidly evolving AI landscape, researching and prototyping new architectures and techniques to continuously elevate our product.

Requirements

  • Hands-on experience with Large Language Models (LLMs), including prompt engineering, fine-tuning, programmatic API usage, and building evaluation frameworks.
  • Strong interest or background in the fashion, retail, or luxury goods industry. You possess a keen eye for aesthetics and an intuitive understanding of the user you're building for.
  • Strong background of machine learning fundamentals, including classification, regression, clustering, embeddings and gradient descent. You are proficient in Python and a major deep learning framework such as PyTorch or TensorFlow.
  • You are a pragmatic and proactive builder who thrives in a fast-paced, autonomous environment, capable of driving projects from a simple idea to a fully realized feature.
  • You are an empathetic and collaborative teammate, skilled at communicating complex technical ideas and passionate about building products that users genuinely love.