Applied Machine Learning Engineer
Elorian, Palo Alto
About the job
About us
We are a well-funded, early-stage AI research and product lab focused on building the next generation of frontier multimodal AI models. Founded by former DeepMind researchers—including Andrew Dai, previously an engineering leader on Gemini—our mission is to push the frontier of visual and multimodal intelligence. Our first model, Glimpse, launched publicly in October 2026.
Our team currently consists of 25 world-class scientists and engineers. We raised a $55M seed round led by Altimeter Capital, Menlo Ventures, Striker VC, and NVIDIA. We are tackling foundational problems in artificial intelligence and translating cutting-edge multimodal research into scalable, real-world systems.
About the role
As our first Applied, User-Facing Member of Technical Staff, you will build the engineering bridge between our core multimodal research and real-world production deployments. This is an engineering-first, high-impact role where you will design and implement reference architectures, production-grade integration frameworks, developer SDKs, evaluation harnesses, and bespoke end-to-end applications powered by Glimpse.
You will sit at the intersection of product engineering, model evaluation, and customer architecture. Working directly with founders, early enterprise partners, and our internal research team, you will turn complex multimodal requirements into robust, high-performance systems and feed real-world constraints directly into our model roadmaps.