203 Expediter Jobs

Machine Learning Engineer 

US Citizenship is required due to security clearance requirements.

Are you a motivated engineer who is passionate about embracing new challenges and solving the hardest technical problems in a team-oriented environment? Every day, the engineers at Expedition Technology work together to solve our Nation’s defense and intelligence challenges by using Machine Learning and Deep Learning to demystify data obtained from signals and images.

Our applied research and development mindset afford our people the opportunity to work on the most cutting-edge methods of optimizing deep learning networks, developing state-of-the-art algorithms and ultimately producing software products that are critical to our nation’s defense infrastructure.  

The success we have already achieved has made Expedition Technology one of the top Machine Learning/Deep Learning research organizations in the Defense and Intelligence communities and we need additional intelligent, passionate, creative people to join our team.

When you join our team, you’ll have the opportunity to:

• Dive directly into the latest computer vision and signal processing research to replicate new techniques published in academia and find ways to make those ideas work on a larger scale
• Use your strong Python coding skills to research, design, develop and expand upon algorithms that will train neural networks to deliver actionable intelligence faster and more effectively
• Develop deep-learning software prototypes that demonstrate potential usefulness to our customers
• Analyze data from disparate sources including images, video, radar, signals and more
• Brainstorm solutions to the toughest problems alongside a team of smart, creative, passionate engineers
• Participate in machine learning brownbag sessions and other forms of collaborative learning to keep abreast of the constant changes in Machine and Deep Learning

Required skills:

• 3 years+ work experience developing machine learning models and/or applications.
• Strong problem-solving skills combined with deep intellectual curiosity and the desire to push technical boundaries
• Strong coding skills- preferably in Python, C/C++, Julia or other object-oriented language in a Linux environment
• Software development skills and the desire to work on cutting edge development in a Cloud environment
• Deep understanding of data structures and algorithms
• Knowledge of computer vision and/or signal processing including techniques for classification and feature extraction
• Excellent oral, written, presentation and communication skills
• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or related field. Advance degrees welcome
• US Citizenship- Must be a US Citizen eligible to maintain a US Government security clearance

Desired skills:

• Experience with deep learning frameworks like Tensorflow, PyTorch, Caffe or Keras

About Expedition Technology

At Expedition Technology, we push the boundaries of what is possible every day. Our engineers work on the most challenging problems in Computer Vision, Digital Signal Processing and Software Engineering from a Machine Learning/Deep Learning perspective and collaborate to find the answers. We are a research-focused company whose mission it is to solve our customer’s most pressing needs in a creative, novel manner.

Expedition Technology offers self-directed, company-paid Medical, Dental and Vision benefits and the freedom to allow you to select which benefits matter most. We offer a 401k with a generous company match, a student loan repayment program, equity shares, paid holidays, paid time off and an education reimbursement allowance. Most importantly, we offer an environment where we are encouraged to push boundaries, take risks and enjoy the rewards.

Interested in joining our team? Let’s explore together.

EXP is proud to be an Equal Opportunity Employer that believes a diverse range of talent creates an environment that fuels creativity and innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, genetic information or protected veteran status.

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