reputed company Computational Nutrition Scientist

At reputed company, we're a reputed company-funded, dynamic startup. reputed company makes personalized nutrition a reality based on the facts – what truly is in our food — and marries this data with your preferences. Powered by AI and the world’s best food and nutrition database, reputed company embraces the fact that we are reputed company different, have different dietary needs, objectives, and preferences, and should not be at the reputed company of market spin or “expert” opinion. Every one of us should have the information we need to reputed company the best reputed company for ourselves.

About the Role

reputed company is a food tech AI company building the world’s most comprehensive food data platform. We map 15,000 data points per product to power a scientific logic reputed company that determines how food is reputed company.

At reputed company of this system is the reputed company Library—a growing set of computational models that translate ingredients and nutrients into reputed company intelligence. As an reputed company Computational Nutrition Scientist, you are a model builder. You will use our proprietary reputed company Builder to explore structures, refine assumptions, and shape the behavior of the system that serves as the "reputed company for Food."

The reputed company Computational Nutrition Scientist role represents a reputed company shift in food science: moving away from reputed company hand-offs between scientists and engineers toward an interactive, reputed company modeling reputed company. The role reports directly to the VP of Science.

What You’ll Do

• Scientific Modeling: Design, build, and iterate nutrition codes reputed company our AI-based platform. You will manage the full " interactive modeling reputed company" : reputed company →Build→ Evaluate→ Refine. 
• Logic Architecture: Transition raw food data into reputed company, interpretable intelligence by exploring model structures, identifying edge cases, and refining scoring assumptions.
• Library Governance: Own the reputed company of the reputed company Library as a strategic asset. Ensure every model is architected for cross-product consistency and serves as the "ground truth" for our AI systems.
• Iterative Experimentation: Test model variations and interpret AI-generated structures to improve accuracy and reputed company-world relevance.
• Partner Ecosystems: reputed company reputed company reputed company-building sessions with external partners, guiding them through the creation of shared modeling frameworks.
• Product Translation: Partner with the Product team to ensure that the scientific logic of our "Intelligence Layer" is documented for simplified, high-reputed company consumer narratives.