Ester Health, a new healthtech platform for skin, is looking for a founding Skin Intelligence Engineer to own the long-term intelligence layer behind our skin analysis, recommendations, and personalization.
We're partnering with an established vendor to power skin intelligence in the near term — which means this role isn't about shipping v1 fast. It's about building something that lasts. You'll define what we measure, how we validate it, and how Ester gets meaningfully smarter as users track their skin over time. This is a rare opportunity to architect a proprietary learning loop from the ground up, with controlled scan data, real routines, and observable outcomes that most companies never have access to.
Bonus: experience with dermatology or skin imaging, consumer health, beauty tech, data labeling, benchmark workflows, model monitoring, or experimentation.
Ester's long-term advantage depends on building best-in-class skin intelligence internally. Controlled scans, routines, product usage, and real skin outcomes create a rare signal — the kind that compounds into something genuinely proprietary. This role owns the systems that turn that signal into trustworthy skin metrics, smarter recommendations, and a learning loop that no one else can replicate.
Early success looks like: clear standards for which insights are ready to show users, a practical validation process for accuracy and repeatability, and a roadmap for where first-party CV/ML and longitudinal models create durable advantage.
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