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 Software Engineer who will work with a dynamic team thatis deliveringnovel solutions to our Intel Community.We’relooking for someone whohasin-depthunderstanding of Deep Learningarchitecturessuch asYOLO, RF-DETR, CLIP, DINOand otherstate of the artobject detection models and techniques.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:
- 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
- Researching academic literature to keep abreast of the latest theories, techniques, and tools
Required Skills and Experience:
- An activeSecretclearance (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
Clearance Required: Top Secret/SCI
#J-18808-LjbffrMachine Learning Engineer - R126 in herndon at Unknown Company
This position is listed as full time and onsite.