Position Summary: 

As a machine learning engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs. The AI for Autonomy Lab researches and demonstrates the application of AI-related technologies for improving the performance of autonomy systems. 

Duties: 

• Solution Development: You’ll work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders. 

• Hands-on Prototyping: You’ll conduct and lead novel prototyping in applied artificial intelligence with a focus on machine learning in autonomy and uncrewed systems (multi-domain). 

• Strategy: You’ll work with AI Division leaders and colleagues to plan, develop, and carry out an overall research and engineering strategy, and to influence the national research and engineering agenda regarding future technology.  

• Collaboration: You'll actively participate on teams of software developers, researchers, designers, and technical leads. You'll build relationships and collaborate with researchers, government customers, and other stakeholders to understand challenges, needs, possible solutions, and research and engineering directions.  

• Mentoring: You'll contribute to improving the overall technical capabilities of the team by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI AI Division. 

Requirements: 

• BS in Computer Science or related discipline with eight (8) years of experience; MS in the same fields with five (5) years of experience; PhD in Computer Science with two (2) years of experience. 
   

• You must be able and willing to work onsite at an SEI office in Pittsburgh, PA or Arlington, VA 5 days per week.

• Flexible to travel to other SEI offices, sponsor sites, conferences, and offsite meetings on occasion. Moderate (25%) travel outside of your home location. 

• Youwill be subject to a background investigation and must be eligible to obtain and maintaina Department of Warsecurity clearance.
  

Knowledge, Skills, and Abilities:

• Deep Technical Knowledge:You have performed extensive research or engineering activities in applied machine learning and artificial intelligence. You have worked with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or related areas. In addition, you have demonstrated applying systems engineering principles and collaborated across multi-disciplinary project teams. You have supported multiple phases of the engineering lifecycle and understand the requirements for successful deployment and operation of complex systems. 

• Machine Learning:You have profound understanding of machine learning principles and have experience in applying machine learning techniques to real-world problems, showcasinga track record of successful implementations. You have designed and implemented complex machine learning functions and architectures tailored to specific autonomous systems. You are familiar with simulation environments and their role in training and testing machine learning models.