Doji

Doji

Founding Engineer

New York City

Sponsorship not specifiedDetected 43 days ago
iOSRESTMachine LearningData EngineeringLLMsProduct StrategyShopifyResearch

About the role

  • We're a small, NYC-based team reimagining fashion shopping from the ground up.
  • Our vision is playful, deeply personal, and centered on self-expression.
  • To bring it to life, we combine advanced AI research, meticulous attention to detail, and an intuitive grasp of contemporary culture.

Responsibilities

  • one week you might ship a scrappy 0-to-1 prototype, the next you might optimize a feed ranker, debug a slow endpoint, or build infrastructure the rest of the team depends on.
  • Over time, as the company grows, you'll own the areas where you're strongest.
  • Early on, the work will be varied: one week you might ship a scrappy 0-to-1 prototype, the next you might optimize a feed ranker, debug a slow endpoint, or build infrastructure the rest of the team depends on.
  • Own personalization end-to-end: retrieval, ranking, cold-start, and the tradeoffs that make recommendations feel fresh and relevant
  • Build LLM-powered systems that actually work in production

Skills

  • Build end-to-end prototypes fast

Company info

  • Work directly with the founders to turn early product ideas into working software
  • Contribute to product strategy and figure out what's worth building
  • Can move between scrappy prototyping and deep technical work
  • Ramp fast on unfamiliar domains
  • Have taste for consumer products and opinions about what makes them good
  • Have worked on consumer products, social products, marketplaces, or other user-facing systems at meaningful scale
  • Are self-driven, high-agency, and good at getting unstuck
  • Have genuine interest in fashion, avatars, or creative expression
  • Have shipped iOS or other native mobile experiences
  • Have worked on the infrastructure side of AI/ML - training pipelines, eval systems, data flywheels
  • We're looking for a founding engineer who can move fast across the stack and go deep when the problem demands it.

This listing is sourced directly from Doji's careers page and normalized into a canonical job model.