Job Description

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 wit...

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