Applied Machine Learning Engineer

Machine Learning Engineer

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 Intelligence 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.

This is a full-time position based in Colorado Springs, Colorado which requires 100% onsite work.

What You'll Be Doing

DSAID's customers range from National Security Space (AF, NRO, etc.) to civil (NASA, NOAA, etc.) and commercial (commercial space, autonomous vehicles, etc.)

• 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
• Machine learning engineers must maintain a commitment to ongoing learning in order to stay current with government missions and the ever-changing climate of data science and AI. This requires both ongoing education in relevant domains, such as physics, math, and/or computer science, as well as an understanding of the existing systems and future objectives of government missions.

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 experience 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 Machine Learning Engineer- Engineering Specialist:

• 8 or more years of experience in Data Scientist or Machine Learning Engineer or AI/ML Researcher role in any domain
• Demonstrated experience architecting, designing, or implementing enterprise-scale AI/ML solutions with multiple tenants and cloud integration
• Experience leading technical teams and in mentoring junior staff.
• Familiarity with data pipelining and streaming technologies (Apache Kafka, temporal, etc.)

How You Can Stand Out

It would be impressive if you have one or more of these:

• Advanced degree in Computer Science, Computer Information Systems, Electrical or Computer Engineering, or related field(s)
• Publications in reinforcement learning, graph theory, or a relevant AI/ML domain.
• Experience in designing or managing enterprise-level ML platforms and production-grade ML models at scale
• Familiarity with High Performance Computing hardware for ML (GPUs, TPUs), CUDA programming, and advanced ML optimization techniques and architectures
• Demonstrated ability to exercise judgement and critical thinking in a scientific discipline
• Experience implementing and guiding teams toward software development best practices
• Experience in SQL, NoSQL, Cypher and other big data querying languages
• Demonstrated contributions to open-source software repositories (github, kaggle, etc.)
• Experience deploying ML models on cloud platforms (AWS, Azure, etc.)
• Domain expertise relevant to one or more customer organization mission areas (USSF, NRO, etc.)
• Active security clearance

We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. The grade-based pay range for this job is listed below. Individual salaries within that range are determined through a wide variety of factors including but not limited to education, experience, knowledge and skills.

(Min - Max) $110,400.00 - $165,500.00 Pay Basis: Annual

Our leadership philosophy is simple: every employee, regardless of level and role, can demonstrate leadership. At Aerospace, our commitment is our people. To cultivate our talent and ensure that we have a strong pipeline of future leaders, we want individuals who:

• Operate Strategically
• Lead Change
• Engage with Impact
• Foster Innovation
• Deliver Results

Ways We Reward Our Employees

During your interview process, our team will provide details of our industry-leading benefits.

Benefits vary and are applicable based on Job Type. A few highlights include:

• Comprehensive health care and wellness plans
• Paid holidays, sick time, and vacation
• Standard and alternate work schedules, including telework options
• 401(k) Plan — Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire
• Flexible spending accounts
• Variable pay program for exceptional contributions
• Relocation assistance
• Professional growth and development programs to help advance your career
• Education assistance programs
• An inclusive work environment built on teamwork, flexibility, and respect

The Aerospace Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity or expression, color, religion, genetic information, marital status, ancestry, national origin, protected veteran status, physical disability, medical condition, mental disability, or disability status and any other characteristic protected by state or federal law. If