Machine Learning Engineer EXPIRED

💫 Company | B2B, Deep Tech, AI native📏 Size | 10 people 🌱 Stage | Seed🧢 Role | ML Research Engineer🪜 Level | Mid to Senior✨ Tech | Python (FastAPI), PyTorch, TensorFlow, HuggingFace📍 Based | Toronto, Canada💻 Working | flexible-hybrid / remote-friendly💰 Offer | $150-200k CADHi 👋 Workonomics are partnering with a deep-tech startup mapping how the global economy connects.Think - unsupervised learning, a growing dataset that spans millions of real-world signals, and a fresh take on how market relationships are analysed. They’re using cutting-edge, foundational-level AI (not just simple LLM wrapping) to solve a surprisingly hard problem: how do you reliably track who competes with whom, and how that changes over time?With backing from top investors, a healthy runway, and Series A on the horizon, they’re now hiring a ML Research Engineer to help:design and fine-tune embedding modelsbuild advanced vector-based data representationsinnovate with unsupervised learningdevelop retrieval systems capable of handling billions of vectorssolve complex challenges in entity resolution and scale systems globally with MLOpsThey're ideally looking for someone with:a MSc and/or PhD in ML (or related fields)appreciation for data exploration, cleaning, and rapid prototypinghands-on experience with vector-based similarity methodsexpertise building LLM systems optimised for speed and scalabilitya passion for open-source (half the current team were found through their contributions)If this sounds like you, please hit apply for more specifics about the company and role.