ML Engineer

About the job

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 Build Food recognition pipeline using computer Vision models API and custom models fine-tuned on firms datasets Recommendation 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 early RAG-based chat system grounded in verified pediatric nutrition guidelines using llms Voice transcription pipeline using OpenAI Whisper, aws transcribe and likes for hands-free logging Requirements 3+ years building and shipping ML models in production Strong Python skills — TensorFlow, PyTorch, scikit-learn Experience with recommendation systems or time-series modeling Familiarity with LLMs and RAG architectures Comfortable working with APIs (Google Vision, OpenAI, USDA FoodData Central) Nice to Have Experience in health, nutrition, or pediatric applications Experience fine-tuning vision models on domain-specific datasets What We Offer Early-stage equity — meaningful ownership in a growing consumer AI company Remote-first, async-friendly culture Direct impact on product — you own the ML roadmap • Competitive salary based on experience