Applied Machine Learning Engineer

The Aerospace Corporation is hiring a full-time Applied Machine Learning Engineer for 100% onsite work in Chantilly, VA.

Responsibilities

• Support customers across National Security Space (e.g., AF, NRO), civil (e.g., NASA, NOAA), and commercial (e.g., commercial space, autonomous vehicles)
• Apply data science and AI knowledge across the space enterprise and toward enterprise capabilities, workforce development, and strategic focus areas
• Evaluate AI/ML technologies for scalable and resilient mission-critical production applications
• Coordinate development and execution of AI/ML experiments
• Coordinate proof-of-concept infrastructure configuration and software prototype development
• Collaborate with small, innovative teams to deliver features and products
• Present results through written and verbal communication to team members and stakeholders
• Reinforce a culture focused on learning and progress
• Maintain accountability and support innovation as part of leadership competency development
• Commit to ongoing learning to stay aligned with evolving government missions and changes in data science and AI
• Perform education and domain learning relevant to physics, math, and/or computer science, alongside understanding current systems and future government objectives
• Duties and responsibilities may change or additional tasks may be assigned as needed

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Information Systems, Electrical or Computer Engineering, or a related technical field
• 5+ years of experience in a Data Scientist, Machine Learning Engineer, or AI/ML Researcher role (any domain)
• Strong proficiency in at least two programming languages (e.g., Python, R, C/C++)
• Familiarity with machine learning and deep learning libraries in Python, plus ML framework experience
• Hands-on experience with container orchestration tooling (e.g., Docker, Kubernetes)
• Experience with software engineering concepts with an AI focus, including MLOps/DevOps, ML development lifecycle, and data structures
• Working knowledge of Unix/Linux operating systems
• Ability to obtain and maintain a security clearance issued by the US government; US citizenship required
• 8+ years of experience in a Data Scientist, Machine Learning Engineer, or AI/ML Researcher role (any domain)
• Demonstrated experience architecting, designing, or implementing enterprise-scale AI/ML solutions with multiple tenants and cloud integration
• Hands-on experience with MLOps and Data Engineering tools (e.g., MLFlow, Kubeflow, Neptune, Airflow, DVC)
• Impressive: advanced degree in Computer Science, Computer Information Systems, Electrical or Computer Engineering, or a related field
• Impressive: experience designing or managing enterprise-level ML platforms and production-grade ML models at scale
• Impressive: familiarity with High Performance Computing for ML (GPUs, TPUs), CUDA programming, and advanced ML optimization techniques and architectures
• Impressive: demonstrated ability to exercise judgement and critical thinking in a scientific discipline
• Impressive: experience implementing and guiding teams toward software development best practices
• Impressive: experience with SQL, NoSQL, Cypher, and other big data querying languages
• Impressive: experience with big data frameworks (e.g., Hadoop, Spark, Flink)
• Impressive: familiarity with data pipelining and streaming technologies (e.g., Apache Kafka, temporal)
• Impressive: demonstrated contributions to open-source software repositories (e.g., GitHub, Kaggle)
• Impressive: experience deploying ML models on cloud platforms (e.g., AWS, Azure)
• Impressive: domain expertise relevant to one or more customer mission areas (e.g., USSF, NRO)
• Impressive: active security clearance

Technologies

• Python, R, C/C++
• Docker, Kubernetes
• Unix/Linux
• MLOps, DevOps, ML Development Lifecycle
• MLFlow, Kubeflow, Neptune, Airflow, DVC
• SQL, NoSQL, Cypher
• Hadoop, Spark, Flink
• Apache Kafka, temporal
• github, kaggle
• AWS, Azure
• GPUs, TPUs, CUDA
• MLOps/DevOps
• Container orchestration tooling

Benefits

• 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; immediately eligible and vested upon hire
• Flexible spending accounts
• Variable pay program for exceptional contributions
• Relocation assistance
• Professional growth and development programs
• Education assistance programs
• Inclusive work environment built on teamwork, flexibility, and respect

Leadership Competencies

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

Location: Chantilly, VA (onsite)

Compensation: USD 110,400 to 193,500 per year