Director of Machine Learning & 3D Reconstruction
Quidient
Director of Machine Learning & 3D Reconstruction
Quidient
API-first platform enabling 5D scene reconstruction
Quidient is a deep tech AI company pioneering advancements in Generalized (5D) Scene Reconstruction (GSR). GSR is poised to become one of the world’s great digital product categories (think GPS, MRI, and LMM). Our flagship GSR product, Quidient Reality®, is a powerful API that enables anyone with a mobile device to virtualize, visualize, and measure anything. Words relevant to Quidient include Generative AI, Physics-Informed AI, Large Scene Models (LSMs), Large World Models (LWMs), and API-First.
Quidient is seeking a Director of ML & Reconstruction to lead applied machine learning improvements across our Generalized Scene Reconstruction Platform. You will own the ML engineering function within our Product Development group, driving quality improvements in our 3D scene reconstruction pipeline, while building and managing a high-performing team of engineers and applied scientists.
This is a leadership-first role. You will manage cross-functional workstreams across the Applications & API, Platform, and Advanced Product Development teams. You will translate technical tradeoffs into delivery decisions and contribute meaningfully to the codebase where your domain expertise drives the most value. You will ship production ML into a system already in customers’ hands. This position is full-time, hybrid, and reports to Quidient’s Director of Software Engineering.
Quidient is an Equal Opportunity Employer. Quidient will consider all qualified applicants without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other classification protected by applicable state, federal, or local laws.
Quidient provides a 5D imaging platform called Quidient Reality that developers can access via an API to add scene virtualization to apps. It creates relightable, photorealistic 3D models by capturing three spatial dimensions of matter and two directions of light, using a process called Plenoptic Condensation to separate light from matter. This approach lets it reconstruct challenging surfaces like transparent or shiny objects beyond traditional 3D scans, and it offers licensing and SDKs to development partners including large enterprises and government agencies. Its goal is to make high-fidelity, relightable 3D representations practical for real-world applications across industries such as insurance, automotive, defense, healthcare, and entertainment.
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