Job Title

The Role We're looking for an ML Engineer to build and own the intelligence layer. You'll work across food recognition, recommendation systems, and conversational AI to create a product that genuinely improves user's health outcomes.What You'll BuildFood recognition pipeline using computer Vision models API and custom models fine-tuned on firms datasetsRecommendation engine combining collaborative filtering and content-based filtering (nutrients, ingredients, textures)Pattern detection using time-series models (LSTM/Prophet) to identify nutritional deficiencies and preference shifts earlyRAG-based chat system grounded in verified pediatric nutrition guidelines using llmsVoice transcription pipeline using OpenAI Whisper, aws transcribe and likes for hands-free loggingRequirements3+ years building and shipping ML models in productionStrong Python skills — TensorFlow, PyTorch, scikit-learnExperience with recommendation systems or time-series modelingFamiliarity with LLMs and RAG architecturesComfortable working with APIs (Google Vision, OpenAI, USDA FoodData Central)Nice to HaveExperience in health, nutrition, or pediatric applicationsExperience fine-tuning vision models on domain-specific datasetsWhat We OfferEarly-stage equity — meaningful ownership in a growing consumer AI companyRemote-first, async-friendly cultureDirect impact on product — you own the ML roadmapCompetitive salary based on experience