Deep Learning Software Engineer - R118

Expedition Technology; Herndon (VA); On-site; USD 130,000 - 190,000; Full time

Job summary

Expedition Technology seeks a Deep Learning and Software Engineer to join a dynamic team delivering novel Intel Community solutions. You will design, train, evaluate, and productize DL models (YOLO, Faster R-CNN, Mask R-CNN) and deploy end-to-end systems in AWS, using PyTorch or TensorFlow.

Expect rigorous testing, collaboration, and hands-on development in a fast-paced, security-focused environment. The role emphasizes end-to-end pipeline development, data sourcing, model training, and

Qualifications

• Active security clearance required (Top Secret/SCI preferred).
• US Citizenship required.
• MS or BS in a technical field (CS, EE, Physics, etc.).
• Proven proficiency in PyTorch, TensorFlow, or similar frameworks.
• Strong understanding of deep neural networks and CV applications.
• Experience deploying ML solutions in AWS.
• Experience with Git and collaboration tools.
• Strong software development skills in Python and OO languages.
• Experience with SDLC, CI/CD, agile/scrum, and testing.
• Experience with Docker, Linux, and cloud development.

Responsibilities

• Research academic literature to stay current on theories, techniques, and tools.
• Collaborate in a team to develop deep learning architectures and pipelines for novel applications.
• Implement solutions in Python (PyTorch).
• Deliver high-quality, carefully tested software.
• Participate in team brainstorming to shape innovative solutions.

Skills

Deep learning

PyTorch

TensorFlow

Computer vision

Python

Software architecture

Git

Communication

Presentation

CI/CD

Education

MS in Computer Science or related field

BS in Computer Science or related field

Tools

AWS

Docker

Linux

Job description

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 deliveringnovel solutions to our Intel Community. We’relooking for someone whohasin-depthunderstanding of DLarchitecturessuch asYOLO, FasterR-CNN, Mask R-CNN,and otherstate of the artobject detection models. The candidateshould feel comfortabledevelopingand testing end-to-end deployablesystems;from sourcingand curatingdata, building, training,and evaluating models, to productizingfinal deliverables.

Ifyoufeel fulfilledby rolling up your sleevesand thinking about hard problems,buildingand integratinglearning-basedalgorithmsand systems, anddelivering robust solutionsin a fastpacedbut scientifically rigorousenvironment,we want to hear from you!

Interestedin joining our team?Here’swhatyou’llneed to succeed:

Responsibilities include:

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

Required Skills and Experience:

• An activeTopSecret clearance (TS/SCI preferred)
• US Citizenship – must be eligible tomaintaina US-Government issuedsecurity 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,orAppliedMathematics
• ProvenproficiencyinPyTorch, TensorFlow, 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/scrummethodologies
• Experience with software testing (unit, integration,functional, etc.)
• Exposure to software containerization with Docker, Linux, and cloud development