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$185k–$235k/yr
Full-time
postgraduate degree
Health Insurance, Hsa, 401(k) With Company Match, Life & Disability Insurance, Paid Holidays, Generous Pto
Posted 55d ago
~40 hrs/week
Responsibilities
Design and train novel deep neural network architectures from scratch for 3D reconstruction and surface anomaly detection. Implement state-of-the-art research papers and integrate production-quality code into the reconstruction engine.
Requirements
Requires a Master's or PhD in a relevant field with 6+ years of experience in deep learning research and engineering. Must possess deep expertise in 3D vision, SLAM, or light transport and proficiency in PyTorch, C++, and Python.
Full job description
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.
Overview
We are seeking a Staff Deep Learning Research Engineer to design, build, and train novel neural network architectures that solve hard problems across Quidient’s GSR platform. This is not an applied-ML role — you will work from foundational principles to create new networks from scratch, implement cutting-edge papers, and run end-to-end experiments across domains including geometric anomaly detection, neural rendering, and 3D reconstruction quality.
This is a hybrid position, meaning that you will need to live within easy driving distance to our Technology Center in Columbia, Maryland.
What You’ll Do
Research & Network Design
Design and train novel deep neural network architectures from scratch for a variety of reconstruction tasks — including surface anomaly detection (e.g., dent detection), geometry-based defect identification, and neural rendering improvements.
Implement state-of-the-art papers and adapt published architectures to Quidient’s specific reconstruction challenges, exercising deep judgment about what will translate from benchmark to production.
Identify technical gaps in the current reconstruction pipeline, propose neural network-based solutions, and build the roadmap for how deep learning capabilities evolve across the platform.
Design and maintain rigorous evaluation pipelines grounded in real-world captures to measure model performance, regression, and generalization.
Model Development
Run end-to-end experiments independently — from hypothesis through data preparation, training, evaluation, and iteration — with minimal supervision.
Stay current with the latest advances in deep neural network architectures, training techniques, and optimization methods, continuously bringing relevant ideas into the pipeline.
Contribute production-quality C++ and Python to integrate trained models into the reconstruction engine.
Bridge deep learning methods with the geometric and physical foundations of the reconstruction platform, applying domain expertise in one or more of: light transport, 3D reconstruction, or SLAM
Drive inference optimization and GPU/CUDA performance work toward real-time and on-device targets.
What You Bring
Must-Have Qualifications:
Master’s or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field. A graduate-level foundation in deep learning theory is required, not just applied experience.
6+ years of experience in deep learning research and engineering, with demonstrated ability to design, train, and evaluate novel neural network architectures from scratch.
Deep domain expertise in at least one of: light transport, deep learning for 3D vision, or SLAM.
Ability to read, critically evaluate, and implement current deep learning papers (CVPR, NeurIPS, ICLR, ICML) and translate them into working systems.
Strong software engineering in C++ and Python, with deep proficiency in PyTorch or equivalent frameworks for model development and training.
Willingness to work on-site in Columbia, MD, in a hybrid capacity.
Meet Quidient, customer, and government security requirements, which may include, but are not limited to a background check, citizenship verification, and Criminal Justice Information Services verification
Nice-to-Have Qualifications:
Experience in fast-paced or startup environments.
Publications or open-source contributions in deep learning, neural rendering, 3D reconstruction, or computer vision (CVPR, NeurIPS, ICLR, ICML, SIGGRAPH, or similar).
Experience designing evaluation pipelines and experiment infrastructure for deep learning research.
Hands on with geometric or physics-informed neural networks, or anomaly detection in 3D data.
Track record of taking a research idea from paper to production-deployed model.
What We Offer
Compensation:
Salary Range: $185,000 – $235,000.
Annual bonus and equity as appropriate.
Benefits:
Health insurance
HSA
401(k) with company match
Life & disability insurance
Paid holidays & generous PTO
Opportunities for bonuses, equity, and career growth
Equal Opportunity Employer Statement
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.
Related keywords
Generative AIPhysics-Informed AILarge Scene ModelsLarge World ModelsAPI-FirstCVPRNeurIPSICLRICMLSIGGRAPHGeometric Neural Networks3D VisionDeep Learning TheoryCUDAGPU PerformanceNeural Rendering
Quidient Reality: Generalized Scene Reconstruction Platform
Industry
Software Development
Company size
11-50 employees
Founded
2017
Headquarters
Columbia, Maryland
LinkedIn followers
1,198
Total funding
$12M
Quidient is a Spatial AI company. We’re a leader in Generalized Scene Reconstruction (GSR), a major branch of the Spatial AI ecosystem. Our flagship product, Quidient Reality®, democratizes GSR by enabling anyone with a mobile device to easily virtualize objects and scenes without specialized equipment.
Quidient uses Plenoptic Condensation™ (PCon™), a GSR method developed by Quidient, to reconstruct high-fidelity surfaces, relightable objects, and large scene models (LSMs). Quidient’s Reality Models™ (Relms) disentangle light fields from matter fields, enabling objects and scenes to be fully relit. Quidient can reconstruct difficult materials, such as glass and metal, outperforming conventional 3D scanning approaches. Development partners are already deploying our SDK to create amazing products using GSR.
Explore our posts to learn more about our technology, products, and real-world applications.
Offices: 7142 Columbia Gateway Drive, Suite 140, Columbia, Maryland 21046, US
Machine LearningComputational PhysicsPolarimetrySLAMGeneralized Scene Reconstruction EnginessfM3D Imagingand 3D ScanningSoftware3D Technology
How much do Data & Analytics jobs in Columbia, MD pay?
Based on 137 listings with disclosed salaries, most data & analytics jobs in Columbia, MD pay between $87k–$210k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Columbia, MD right now?
There are currently 194 open data & analytics positions in Columbia, MD listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Columbia, MD?
Companies currently hiring include Blend, Mission Technologies, a division of HII, eSimplicity, Independent Software, Quidient, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Columbia, MD?
Yes — 88 of the 194 open data & analytics positions offer remote or hybrid work (24 remote, 64 hybrid).
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