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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Deep Learning Engineer - **Company:** Quidient, LLC - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $185,000.0 - $235,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Neural Networks, Computer Vision, C++ (Programming Language), Nvidia CUDA, Python (Programming Language), Machine Learning, Software Engineering, Pytorch, Deep Learning, Information Technology, Free and Open-Source Software - **Published:** July 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=643c6aed36b66334 ## About the Role * 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, * 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. ## Description 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., * 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. ## Related Videos - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Fireside Chat: Deep Learning, Deep Impact: Harnessing AI for Language Innovation](https://www.wearedevelopers.com/videos/612-fireside-chat-deep-learning-deep-impact-harnessing-ai-for-language-innovation) - [30 Golden Rules of Deep Learning Performance](https://www.wearedevelopers.com/videos/11-30-golden-rules-of-deep-learning-performance) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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