Applied Machine Learning Engineer

The Aerospace Corporation

. Support customers across national security space, civil, and commercial domains .

Posted 11/4/2026full-timeUnited StatesMid-LevelSenior💰 $110,400 - $193,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Science and AI, with a strong focus on developing and implementing scalable AI/ML solutions. Proficient in programming languages and familiar with MLOps practices, while maintaining a commitment to ongoing education in relevant technical fields.

Highest-signal resume keywords

Data Science ExpertiseAI/ML Solution DevelopmentProficiency in Python and RMLOps and DevOps ExperienceContainer Orchestration with Docker and Kubernetes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningDeep LearningProgramming in PythonProgramming in RMLOpsDevOpsSoftware Engineering ConceptsData StructuresAI/ML Research

Soft Skills

CollaborationCommunicationLeadershipAccountabilityInnovation

Tools & Technologies

DockerKubernetesMLFlowKubeflowNeptuneAirflowDVC

Certifications & Qualifications

Security Clearance Eligibility

Industry Keywords

National SecurityAerospaceCommercial DomainsMission-Critical ApplicationsProof-of-Concept Development

Tech Stack

Tools & technologies

AirflowCloudDockerKubernetesLinuxPythonUnixC++

About the role

Key responsibilities & impact

Support customers across national security space, civil, and commercial domains
Apply data science and AI knowledge across the space enterprise, Aerospace enterprise capabilities, and corporate workforce development and strategic focus areas
Evaluate technologies for scalable and resilient mission-critical production applications
Coordinate development and execution of AI/ML experiments
Coordinate development of proof-of-concept infrastructure configurations and software prototypes
Collaborate with small, innovative, multidisciplinary teams to deliver features and products
Present results in written and verbal formats to team members and stakeholders
Reinforce an environment of learning and progress with team members and others
Develop leadership competencies focused on accountability and innovation
Maintain ongoing education in physics, mathematics, computer science, data science, and AI to stay current with government missions and objectives

Requirements

What you’ll need

Bachelors or Master’s degree in Computer Science, Computer Information Systems, Electrical or Computer Engineering or related technical field(s)
5 or more years of experience in a Data Scientist, Machine Learning Engineer, or AI/ML Researcher role in any domain for Senior Member of Technical Staff
8 or more years of experience in a Data Scientist, Machine Learning Engineer, or AI/ML Researcher role in any domain for Engineering Specialist
Strong proficiency in at least two different programming languages, such as Python, R, or C/C++
Familiarity with machine learning and deep learning libraries in Python
Hands-on experience with container orchestration tooling such as Docker and Kubernetes
Experience and understanding of 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
U.S. citizenship required to obtain a security clearance
Demonstrated experience architecting, designing, or implementing enterprise-scale AI/ML solutions with multiple tenants and cloud integration for Engineering Specialist
Hands-on experience with MLOps and Data Engineering tools such as MLFlow, Kubeflow, Neptune, Airflow, and DVC for Engineering Specialist
Advanced degree in a relevant field is preferred/impressive, not required

Benefits

Comp & perks

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