Machine Learning Engineer

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

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