ML Engineer; Remote

Position: Hiring ML Engineer (Remote )
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 — Tensor Flow, 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 Food Data 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