Deep Learning Software Engineer - R118

At Expedition Technology (EXP), we work on real-world problems whose solutions will make an immediate impact on national security. If youdesirean opportunity where you will apply your deep learning and software engineeringexpertiseto challenging problems with no known solutions, EXP is the place to be!

Currently, we are seeking an experienced Deep Learning-and-Software Engineer who will work with a dynamic team thatis delivering novel solutions to our Intel Community. We’relooking for someone whohasin-depth understanding of DLarchitecturessuch asYOLO, FasterR-CNN, Mask R-CNN,and other state of the artobject detection models. The candidate should feel comfortabledevelopingand testing end-to-end deployablesystems;from sourcing and curating data, building, training,and evaluating models, to productizingfinal deliverables.

Ifyoufeel fulfilled by rolling up your sleeves and thinking about hard problems,building and integrating learning-basedalgorithmsand systems, and delivering robust solutions in a fastpacedbut scientifically rigorous environment,we want to hear from you!

Interested in joining our team?

Here’swhatyou’llneed to succeed:

• Researching academic literature to keep abreast of the latest theories, techniques, and tools
• Working inateam to developdeeplearning architectures and pipelines for novel applications
• Implementing solutions in Python (PyTorch)
• Delivering high-quality,carefully tested software
• Participate in team brainstorming sessions to shape innovative solutions

• An active
  
  TopSecret clearance (TS/SCI preferred)
• US Citizenship – must be eligible tomaintaina US-Government issued security clearance of Top Secret or higher
• MS and2+ years of experience or BS and4+ years of experience in a technical field such as Computer Science, Electrical Engineering, Physics, Statistics,orApplied Mathematics
• Provenproficiencyin Py Torch , Tensor Flow, or other modern machine learning framework
• Solid theoretical understanding of deep neural networks as well as its applications, particularly in computer vision
• Proven experience architecting, training, testing, and deploying machine learning solutions within an AWS environment
• Experience using collaborative source code management tools (Git)
• Strong technical presentation and writing skills
• Strong software development skills to include object-oriented design and implementation inlanguageslike Python
• Strong practical experience developing in both object oriented andprocedurallanguages
• Experience with standard data structures, algorithms, and application organization
• Experience with the full software development lifecycle, CI/CD, agile/scrum methodologies
• Experience with software testing (unit, integration,functional, etc.)
• Exposure to software containerization with Docker, Linux, and cloud development