DSAID's customers range from National Security Space (AF, NRO, etc.) to civil (NASA, NOAA, etc.) and commercial (commercial space, autonomous vehicles, etc.)
DSAID applies data science and AI knowledge across the space enterprise, to Aerospace enterprise capabilities, and towards corporate workforce development and strategic focus areas
Machine Learning Engineers learn and develop their skills by working on teams spanning disciplines, experience levels, and organizational boundaries.
Primary functions include:
Evaluation of technologies for use in scalable and resilient mission-critical applications in a production environment
Coordinated development and execution of AI/ML experiments
Coordinated development of proof-of-concept infrastructure configuration and software prototypes
Collaboration with small, innovative teams to deliver features and products
Written and verbal presentation of results to team members and stakeholders
Reinforcing an environment of learning and progress with team members and others
Focus on accountability and innovation in leadership competency development
Duties, responsibilities and activities may change, or new ones may be assigned as needed
What You Need to be Successful
Minimum Requirements for the Machine Learning Engineer- Senior Member of Technical Staff
Bachelors degree in Computer Science, Computer Information Systems, Electrical or Computer Engineering or related technical field(s)
5 or more years of experience in Data Scientist or Machine Learning Engineer or AI/ML Researcher role in any domain
Strong proficiency in at least two different programming languages ( e.g. Python, R, C/C++), and ML frameworks and familiarity with common libraries used for Data Science and Machine Learning, such as pandas, pytorch or JAX.
Experience with on and off-policy reinforcement learning algorithms such as Deep Q Learning, A3C, and PPO .
Working knowledge of fundamental graph theory and graph neural networks.
Hands on e xperience with container orchestration tooling ( Docker, Kubernetes, etc.)
Experience with and understanding of software engineering concepts with an AI focus ( MLOps /DevOps, ML Development Lifecycle, data structures, etc.)
Working knowledge of Unix/Linux operating systems
This position requires ability to obtain and maintain a security clearance, which is issued by the US government. U.S citizenship is required to obtain a security clearance.
In addition to the above, the minimum requirements for the
Benefits
Vision insurance
Additional Information
The Aerospace Corporation is the trusted partner to the nation's space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space- delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you'll be part of a special collection of problem solvers, thought leaders, and innovators. Join us and take your place in space.
Information Systems and Cyber Division (ISCD) staff couple the latest in information system technologies, such as elastic compute clouds, containerization, microservices, real-time operating systems, and visualization frameworks, with expertise in cyber security, software architecture, software engineering, data science, Artificial Intelligence, process improvement, and software development to deliver responsive, resilient, high-performance software intensive systems to our I ntelligence Community , DoD, and civilian customers.
The Data Science and Artificial Intelligence Department (DSAID) seeks a creative and enthusiastic Machine Learning Engineer to join a diverse team of engineers, data scientists, and programmers with a passion for researching, prototyping, understanding, and building AI and data enabled tools across the space enterprise. We are a growing, innovative, and collaborative department that makes meaningful contributions to National Security Space (AF, NRO, etc.), and Civil and Commercial customers (NASA, MDA, DHS, etc.).
This position is for the Data Science Applications section, where we focus on solving customer problems with digital applications that involve data science and machine learning techniques. DSA is looking for machine learning engineer with reinforcement learning and graph theory experience to support customers in the missile warning/missile tracking domain.
T his is a full-time position based in Colorado Springs, Colorado which requires 100% onsite work.
Aero · Colorado Springs, CO