Deep Learning R&D Software Engineer

Expedition Technology•Herndon, VA

About The Position

Deep Learning R&D Software Engineer At Expedition Technology (EXP), we work on real-world problems whose solutions will make an immediate impact on national security. If you desire an opportunity where you will apply your deep learning and software engineering expertise to challenging problems with no previously 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 that is delivering novel solutions to our Intelligence Community. We’re looking for someone who has an in-depth understanding of DL architectures such as YOLOv8, Faster R-CNN, DETR, and other state of the art object detection models. The candidate should feel comfortable developing and testing end-to-end deployable systems; from sourcing and curating datasets, building, training, and evaluating models, to productizing final deliverables. As a DL Software Engineer, you will develop ML orchestration pipelines for novel Geospatial Object Detection problems, apply Sim-to-Real ML dataset techniques, design and implement custom algorithms and evaluation metrics, as well as produce technical reports. We’re looking for someone who has experience in developing robust deep learning models against different types of ML-driven adversarial attacks. The candidate should feel comfortable developing novel methods and algorithms, applicable to electro-optical (EO) imagery, for the detection, explanation, and mitigation of a wide range adversarial attacks on overhead detection models that operate in close to real-time. If you feel fulfilled by rolling up your sleeves and thinking about hard problems, building new deep learning algorithms from scratch, and working in a fast paced but scientifically rigorous environment, we want to hear from you!

Requirements

US Citizenship – must have an ACTIVE Top Secret / SCI Clearance
An active Top Secret/SCI security clearance
MS and 3+ years of experience or BS and 5+ years of experience in a technical field such as Computer Science, Electrical Engineering, Physics, Statistics, or Applied Mathematics
Proven proficiency in PyTorch, TensorFlow, or other modern machine learning framework
Solid theoretical understanding of deep neural networks as well as their applications, particularly in computer vision and object detection
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 in languages like Python
Strong practical experience developing in both object oriented and procedural languages
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

Responsibilities

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

Benefits

Company-paid medical, dental, and vision insurance
Generous Time Off: Enjoy 12 paid holidays, up to 33 days of PTO, and generous sick leave
Robust 401(k) Plan: Benefit from up to a 12% company contribution, including a 3% safe harbor, 6% match, and up to 3% additional as a form of profit sharing.
Student Loan Repayment: Take advantage of our unique option to reallocate a portion of your 401(k) match funds to repay student loans, helping you achieve financial freedom faster.
Paid Parental Leave: Six weeks of paid leave for the primary caregiver and 2 weeks of paid leave for the secondary caregiver for you to bond with your new family member.
Tuition Reimbursement: Pursue further education with up to $5,250/year available to support your continuous learning and growth.
Referral Bonus Program: Earn rewards for bringing talented individuals into our team.
Exclusive Entertainment Perks: Enjoy free tickets to sporting events, theater, concerts, and more, adding fun and excitement to your life.
Onsite Amenities: Stay fit and healthy with our free, onsite fitness center, active workstations featuring treadmill and bike desks, and enjoy our onsite cafeteria with reduced-cost options.
Inspiring Work Culture: Thrive in a collaborative, creative, and supportive culture where you are encouraged to push boundaries, take risks, and enjoy the rewards.