My clients Intelligence Tools & Application (ITA) group keep our Department of Defense (DoD) and Intelligence Community (IC) customers at th...
My clients Intelligence Tools & Application (ITA) group keep our Department of Defense (DoD) and Intelligence Community (IC) customers at the leading edge of technology by identifying, demonstrating, developing, and deploying emerging Machine Learning (ML) approaches to solve their complex problems. They are currently seeking an experienced Senior Machine Learning Scientist to help them develop disruptive technologies for our customers.
You position as a Senior ML Scientist, you will apply your ML skills to wide variety of problems and datasets. Past projects include detecting disinformation campaigns from GAN-generated contents, developing algorithms to detect rare objects from overhead imagery, and inferring causal relationships between datasets. You will bring experience, creativity and entrepreneurship, and you will interact with customers, lead technical project teams, and spearhead the growth of current and new research areas.
YOU MUST BE A US CITIZENWITH THE ABILITY TO OBTAIN A SECURITY CLEARANCE
1-5 years of practical experience applying ML and statistics to solve complex problems.
Experience working and collaborating on multi-disciplinary teams, including leading technical teams and mentoring less experienced scientists.
MS or PhD in a scientific field such as computer science, math, data science or physics, or equivalent experience.
Previous experience applying statistical modeling and/or deep learning to one or more of the following areas: predictive analytics, contextual reasoning, sense making, activity-based intelligence, computer vision, and natural language processing.
Proficiency in data structures and algorithms, and expertise using Python, Julia, or R.
U.S. citizenship required. Must have the ability to obtain and maintain a security clearance.
5+ years of practical experience applying state-of-the-art ML and statistical techniques to multimodal big data.
Proven experience deploying solutions at scale into prototype and production systems.
Strong fundamentals in problem solving, complexity analysis, and algorithm design.
Track record of research in ML technologies in high impact publications.
Understanding and experience in interacting with decision-makers and customers to translate mission needs into an end-to-end analytical solution.