Applied Machine Learning Engineer
The Aerospace Corporation9 days ago
Chantilly, VA, USA +2 moreSenior
Base Salary
$110k - $194k/yr
Responsibilities
- Evaluate technologies for scalable, resilient, mission-critical production applications.
- Develop and execute AI/ML experiments and proof-of-concept infrastructure configurations and software prototypes.
- Design, optimize, scale, and deploy robust production-ready machine learning solutions and ML software architectures.
- Collaborate with multidisciplinary teams to deliver features and products for space, national security, civil, and commercial customers.
- Present technical results to team members and stakeholders while supporting a culture of learning, accountability, and innovation.
- Maintain ongoing education in relevant technical domains and government mission areas.
Requirements
- Bachelor’s or master’s degree in Computer Science, Computer Information Systems, Electrical or Computer Engineering, or a related technical field.
- At least 5 years of experience as a data scientist, machine learning engineer, or AI/ML researcher.
- Strong proficiency in at least two programming languages, such as Python, R, or C/C++, and familiarity with Python machine learning and deep learning libraries.
- Hands-on experience with container orchestration tools such as Docker and Kubernetes.
- Understanding of software engineering concepts focused on AI, including MLOps, the ML development lifecycle, and data structures.
- Working knowledge of Unix/Linux operating systems.
- Ability to obtain and maintain a U.S. government security clearance; U.S. citizenship is required for clearance.
- For the Engineering Specialist level, 8 or more years of relevant experience and experience architecting, designing, or implementing enterprise-scale, multi-tenant AI/ML solutions with cloud integration are required.
- For the Engineering Specialist level, hands-on experience with MLOps and data engineering tools such as MLflow, Kubeflow, Neptune, Airflow, and DVC is required.
- Preferred qualifications include an advanced degree, enterprise ML platform or production ML model experience, GPU/TPU and CUDA knowledge, advanced ML optimization experience, software development leadership, SQL/NoSQL/Cypher experience, big data and streaming experience, open-source contributions, cloud ML deployment experience, relevant mission-domain expertise, and an active security clearance.
Benefits
- Comprehensive health care and wellness plans.
- Paid holidays, sick time, and vacation.
- Standard and alternate work schedules, including telework options, although this position requires 100% onsite work.
- 401(k) plan with company-paid benefits of 8%, 10%, or 12% of eligible compensation based on years of service, plus matching contributions; employees are immediately eligible and vested.
- Flexible spending accounts and a variable pay program for exceptional contributions.
- Relocation assistance.
- Professional growth, development, and education assistance programs.
- Inclusive work environment focused on teamwork, flexibility, and respect.
Tech Stack
Apache AirflowApache FlinkApache HadoopApache KafkaApache SparkAWSAzureCC++DockerDVCKubernetesLinuxMLflowPythonRSQL
Categories
About The Aerospace Corporation
The Aerospace Corporation is a nonprofit operator of a federally funded research and development center, providing independent systems engineering, research, and mission assurance for U.S. government space programs. It supports defense, civil, and some commercial customers across satellites, launch vehicles, ground systems, remote sensing, and cyber. Founded in 1960 and headquartered in Chantilly, Virginia, it advises on acquisition, design, testing, and operations to improve reliability of national security space systems.