Machine Learning Engineer - Autonomy Lab Security Clearance

Position: Machine Learning Engineer - Autonomy Lab with Security Clearance
What We Do At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of Artificial Intelligence (AI) technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning (ML) to provide leap-ahead mission capabilities, we:
* build real-world, mission-scale AI capabilities through solving practical engineering problems.
* discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities.
* prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities.
* identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape. Are you creative, curious, and collaborative? Do you enjoy doing meaningful and complex work? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team today!

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.
* You will be subject to a background investigation and must be eligible to obtain and maintain a Department of War security 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, showcasing a 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.
* Robotics & Autonomy:
You have a strong understanding of robotics principles and design techniques for air, sea, or land-based vehicles. You have experience applying machine learning within these domains and understand the related implications and challenges. Your experience includes areas such as sensor fusion, navigation, object search/tracking, collision avoidance, multi-agent collaboration, and human-machine teaming.
* Test & Evaluation:
You have designed and conducted test and evaluation activities for ML…