Skin Intelligence Engineer

What You'll Do

• Own the technical foundation for Ester's skin analysis, scoring, and recommendation systems.
• Define metric semantics, quality standards, validation methods, and failure modes for consumer-facing skin insights.
• Build evaluation frameworks and data workflows that learn from longitudinal scans, skincare routines, product usage, and outcomes.
• Develop the foundation for personalized product and routine recommendations based on skin analysis, user goals, and observed results.
• Make practical architectural decisions across computer vision, machine learning, recommender systems, longitudinal modeling, and related approaches.
• Partner closely with product, engineering, and scientific advisors to ensure rigorous validation, safe consumer claims, and clear user-facing explanations.

What We're Looking For

• Strong applied machine learning and/or computer vision experience with real-world image systems.
• Excellent engineering execution and strong instincts around data quality and evaluation.
• Ability to define metrics, benchmarks, validation strategies, and failure modes from first principles.
• Strong product judgment around confidence, calibration, explainability, and recommendation quality.
• Comfortable owning ambiguous, end-to-end technical systems with significant autonomy.
• Experience or interest in recommendation systems, personalization, longitudinal modeling, or treatment-effect measurement.

Preferred Experience

• Dermatology or skin imaging
• Consumer health or beauty technology
• Data labeling and benchmark development
• Model monitoring and experimentation frameworks

Why This Role

• Ester's long-term advantage depends on building world-class skin intelligence internally.
• Controlled scans, skincare routines, product usage, and measurable skin outcomes create a unique signal that compounds into a proprietary competitive advantage.
• Success in this role means establishing trusted standards for which insights are ready for users, building practical validation systems for accuracy and repeatability, and creating the roadmap for first-party computer vision and machine learning that becomes increasingly valuable over time.

What We Offer

• Competitive salary, benefits, and meaningful equity
• 100% remote structure or hybrid if preferred (office on the west side of Los Angeles)
• High-growth, venture-backed startup with significant ownership and impact
• Access to leading skincare advisors and domain experts
• Opportunity to build foundational technology in an entirely new category