Q

Quidient

API-first platform enabling 5D scene reconstruction

Director of Machine Learning & 3D Reconstruction

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeColumbia, MD, USA

About the Job

Requirements

  • A Master’s degree in Computer Science, Electrical Engineering, or a related field is required; a PhD is preferred, and a bachelor’s degree may be considered with exceptional experience.
  • At least 7 years of experience in machine learning engineering or applied research, including at least 5 years in a people-management role overseeing engineers and/or applied scientists.
  • Strong production machine learning expertise, including model selection, deployment, inference optimization, and operational ownership; experience with traditional machine learning and applied deep learning is required. This is not a large language model-focused role.
  • Ability to review, direct, and contribute to a production codebase.
  • Experience driving cross-functional alignment across engineering, research, and product stakeholders in an ambiguous, fast-moving environment.
  • Extensive experience in 3D reconstruction, computer vision, or spatial computing, such as Neural Radiance Fields, 3D Gaussian Splatting, Simultaneous Localization and Mapping, Structure from Motion, or related techniques.
  • Willingness to work in a hybrid capacity from the Technology Center in Columbia, Maryland, or to relocate.
  • Not eligible for H-1B sponsorship.
  • Must meet company, customer, and government security requirements, which may include background checks, citizenship verification, and Criminal Justice Information Services verification.

Responsibilities

  • Drive machine-learning-driven quality improvements across the production 3D scene reconstruction pipeline, including panel geometry, background reconstruction, and output fidelity.
  • Own model selection, deployment, inference optimization, and operational ownership of machine learning systems in production.
  • Evaluate and apply traditional machine learning and applied deep learning techniques to improve reconstruction quality, and determine when each approach is appropriate.
  • Review and contribute to the production codebase, evaluate tradeoffs, identify bottlenecks, and guide technical decisions.
  • Build, manage, and grow a team of machine learning engineers and applied scientists within the Advanced Product Development team.
  • Drive cross-functional alignment across the Applications and API and Platform teams.
  • Partner with the Advanced Product Development technical leads and Director of Software Engineering to scope work, resolve technical blockers, and maintain delivery velocity.
  • Maintain focus on the highest-impact work and team momentum as priorities shift in a fast-moving startup.
  • Ship production machine learning into a system already in customers’ hands.

Desired Qualifications

  • Background in light transport, physically based rendering, or GPU-accelerated compute.
  • Experience with pose estimation, Simultaneous Localization and Mapping, or multi-view reconstruction.
  • Track record of shipping machine learning in production in a latency-sensitive or hardware-constrained environment.
  • Prior experience at a deep tech startup or in a defense- or government-adjacent technology context.
  • Experience as a scientist or applied researcher who successfully transitioned into an engineering leadership role.

About the Company

Quidient

API-first platform enabling 5D scene reconstruction

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.

Company size
11-50
Company stage
Grant
Total funding
$10.9M
Headquarters
Columbia, SC
Founded
2016

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