Applied Machine Learning Engineer
The Aerospace Corporation7 days ago
Chantilly, VA, USASenior / Staff+
Base Salary
$110k - $166k/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.
- Optimize and scale machine learning models and design robust, production-ready ML software architectures.
- Implement MLOps and Trusted AI best practices while applying current compute hardware and optimization techniques.
- Collaborate with multidisciplinary teams to deliver features and products.
- Present technical results to team members and stakeholders and contribute to a culture of learning, accountability, and innovation.
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; the Engineering Specialist path requires at least 8 years.
- Strong proficiency in at least two programming languages, such as Python, R, or C/C++, and familiarity with machine learning and deep learning libraries in Python.
- Hands-on experience with container orchestration tools such as Docker and Kubernetes.
- Understanding of AI-focused software engineering concepts, MLOps, ML development lifecycle practices, 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 the Engineering Specialist path, demonstrated experience architecting, designing, or implementing enterprise-scale, multi-tenant AI/ML solutions with cloud integration and hands-on experience with MLOps and data engineering tools.
- Preferred qualifications include an advanced degree, experience managing enterprise ML platforms and production-grade models, GPU/TPU and CUDA expertise, SQL/NoSQL/Cypher knowledge, big data and streaming experience, cloud ML deployment experience, open-source contributions, relevant mission-domain expertise, and an active security clearance.
Benefits
- Full-time position based 100% onsite in Chantilly, Virginia.
- Comprehensive health care and wellness plans, paid holidays, sick time, and vacation.
- Standard and alternate work schedules, including telework options where applicable.
- 401(k) plan with company-paid contributions of 8%, 10%, or 12% 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 and development programs, and education assistance.
- 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.