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Doji
New York City, New York, United States
Source: Doji careers · View original posting
From Doji's posting. “We” and “our” refer to the employer.
The Opportunity
We’re building the future of fashion shopping with AI avatars: personalized try-on, social discovery, and interfaces that make shopping feel alive.
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.
Previously we’ve built products used by millions at Apple, DeepMind, Meta, Shopify, and startups. Now we’re backed by the investors behind OpenAI, Cursor, and SKIMS.
We’re looking for a founding engineer who can move fast across the stack and go deep when the problem demands it. 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. Over time, as the company grows, you’ll own the areas where you’re strongest.
This is an in-person role from our office in NYC.
The best person for this role is T-shaped: broad enough to move across AI, backend, data, and product surfaces when needed, with real depth in at least one of these areas:
AI product systems - diffusion pipelines, batch LLM workflows, vector search, evals, structured outputs, and reliability work under real product constraints.
Recsys and personalization retrieval and ranking systems, embedding-based search, learned rankers, sequence modeling of user behavior, and online experimentation.
Core product infrastructure
Bonus if you…
Have shipped iOS or other native mobile experiences
Have worked on the infrastructure side of AI/ML - training pipelines, eval systems, data flywheels
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