Quidient

Staff Deep Learning Engineer

Columbia, Maryland, United States · Staff+

Sponsorship not specified$185k-$235kDetected 2 days ago

PythonC++Machine LearningDeep LearningPyTorchComputer VisionLLMsElectrical EngineeringResearch

About the role

This is a hybrid position, meaning that you will need to live within easy driving distance to our Technology Center in Columbia, Maryland.

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.
Design and maintain rigorous evaluation pipelines grounded in real-world captures to measure model performance, regression, and generalization.
Drive inference optimization and GPU/CUDA performance work toward real-time and on-device targets.

Strong software engineering in C++ and Python, with deep proficiency in PyTorch or equivalent frameworks for model development and training.
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.
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:
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.

Experience in fast-paced or startup environments.
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.

Annual bonus and equity as appropriate.
Health insurance
Life & disability insurance
Paid holidays & generous PTO
Opportunities for bonuses, equity, and career growth
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.

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.
Equal Opportunity Employer Statement

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

This listing is sourced directly from Quidient's careers page and normalized into a canonical job model.