Staff Deep Learning Engineer

Model Development

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.

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