The Machine Learning Engineer will design, implement, and manage complex ML algorithms, focusing on computer vision and data analysis while collaborating with team members to transition algorithms to production.

Design, develop, and deploy web applications; collaborate with UX engineers; implement intuitive UIs; participate in code reviews; use Agile methodologies.

The Machine Learning Engineer will design, implement, and manage complex ML algorithms, focusing on computer vision, testing algorithms, and transitioning them to production. Responsibilities include tracking advancements in ML, conducting experiments, and writing maintainable code.

Develop algorithms for mission planning tools, analyze data, validate performance, and collaborate across teams. Requires expertise in physics and software development.

As a Mechanical Engineer, you will design, prototype, and test mechanical systems for UAVs, leading projects from requirements to fielding.

The Electrical R&D Technician will develop aerial vehicle components, conduct tests, and troubleshoot systems in a fast-paced environment.

Analyze and evaluate machine learning algorithms, develop advanced algorithms for modeling, and collaboratively transition them to software applications, while engaging with stakeholders and researching innovative solutions.

Design and develop scalable software applications in Python, collaborate with teams, and ensure code quality for critical defense projects.

As an Aerospace Algorithms Engineer, you will develop algorithms for mission planning tools, process data, validate performance, and collaborate with teams.

As a Frontend Software Engineer, design, develop, and deploy web applications, collaborate with UX engineers, and implement user-friendly interfaces.

Design, implement, and manage complex machine learning algorithms with a focus on computer vision. Experience in MLOps, cloud platforms, and testing AI technologies is essential.

The Robotics Software Engineer will architect systems, implement navigation algorithms, develop software for UAS, and support prototype vehicle testing.

Lead the development and deployment of software solutions for AI, ML, and data management within the US National Security Ecosystem, ensuring program execution and technical oversight.

As a Human Factors Engineer, you will evaluate AI systems' performance, lead user engagement studies, and recommend design improvements for better human-AI interaction.

Lead teams to evaluate AI and machine learning algorithms, define performance goals, and coordinate with vendors while transitioning algorithms to software.

Develop and maintain cloud-based web applications using modern technologies, collaborate with teams, and ensure secure software delivery processes.

Design and develop cloud-scale software, maintain cloud infrastructure, ensure compliance, and collaborate with teams to deliver high-quality applications.

The Chief Engineer will set the technical vision for AI and machine learning programs, manage execution, and lead multi-disciplinary teams to deliver innovative solutions.

Lead software development for AI, ML, and decision systems, manage technical teams, and drive innovation for National Security solutions.

The Office Operations Administrator will manage office supplies, coordinate events, assist with meetings, support onboarding, and handle administrative tasks.