Machine Learning Engineer, Undergrad Intern

The Aerospace Corporation

. Develop and execute machine learning and data science experiments in natural language processing, computer vision, time series analysis, reinforcement learning, and related domains .

Posted 9/22/2026full-timeUnited StatesEntry Level💰 $26 - $30 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in machine learning and data science, particularly in natural language processing and computer vision, while collaborating effectively within multidisciplinary teams. Proficient in Python and familiar with MLOps processes, cloud infrastructure, and software engineering concepts.

Highest-signal resume keywords

Proficiency In PythonMachine Learning And Artificial IntelligenceMLOps Processes And ToolsContainer Orchestration (Docker, Kubernetes)Cloud Native Application Development

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningNatural Language ProcessingComputer VisionReinforcement LearningStatisticsSoftware Engineering ConceptsML Development LifecycleScalable ML ArchitectureUnix/Linux Operating SystemsMicroservice Architectures

Soft Skills

CollaborationCommunicationTeamworkPresentation SkillsLearning Mindset

Tools & Technologies

PyTorchMLFlowData Version ControlDockerKubernetes

Industry Keywords

Data ScienceAI FocusSecurity ClearanceU.S. Citizenship

Tech Stack

Tools & technologies

CloudDockerKubernetesLinuxPythonPyTorchUnix

About the role

Key responsibilities & impact

Develop and execute machine learning and data science experiments in natural language processing, computer vision, time series analysis, reinforcement learning, and related domains
Evaluate technologies and data science models for scalable and resilient mission-critical applications
Collaborate with teams of various sizes to deliver features and products
Present written and verbal results to customer stakeholders
Reinforce an environment of learning and progress with team members and others
Work on multidisciplinary teams spanning various experience levels and organizational boundaries

Requirements

What you’ll need

Currently enrolled full-time in an accredited college/university program pursuing a Bachelor's Degree in Computer Science, Computer Engineering, or related discipline
Availability to work full-time for a minimum of 10 weeks outside of university term and ability to return to a degree program full-time after completion of the internship
Minimum GPA of 3.0
Proficiency in Python, including major ML libraries and tools (PyTorch)
Understanding of container orchestration tooling (Docker, Kubernetes, etc.)
Understanding of machine learning and artificial intelligence, software engineering, and statistics
Experience with and understanding of software engineering concepts with an AI focus (MLOps/DevOps, ML Development Lifecycle, Scalable ML Architecture, etc.)
Familiarity with MLOps processes and tools (MLFlow, Data Version Control etc.)
Knowledge of computer vision design or natural language processing applications leveraging ML models
Familiarity with Unix/Linux operating systems
Working knowledge of cloud native application development or cloud infrastructure, Microservice architectures
Ability to obtain and maintain a security clearance issued by the U.S. government
U.S. citizenship required to obtain a security clearance
Transcripts 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