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The Aerospace Corporation · 7 hours ago

2026 Machine Learning Engineering Grad Intern

Chantilly, VA

Internship

Onsite

Intern

Start in 2026

The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and providing unmatched technical expertise. They are hiring a Machine Learning Engineer Intern to develop and execute machine learning and data science experiments, collaborating with various teams to deliver features and products.

AerospaceGovernmentInnovation ManagementMilitary

Work & Life Balance

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Developing and executing machine learning and data science experiments, in the domains of natural language processing, computer vision, time series analysis, reinforcement learning, etc

Evaluating technologies and data science models for use in scalable and resilient mission-critical applications

Collaborating with teams of various sizes to deliver features and products

Presenting written and verbal results to customer stakeholders

Reinforcing an environment of learning and progress with team members and others

Qualification

PythonMachine LearningArtificial IntelligenceContainer OrchestrationCloud InfrastructureComputer VisionNatural Language ProcessingMLOpsUnix/LinuxTeam CollaborationCommunication SkillsProject ManagementInterpersonal Skills

Required

Currently enrolled full-time in an accredited college/university program pursuing a Master'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)

Experience with container orchestration tooling (Docker, Kubernetes, etc.)

Experience with and 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.)

Specific experience designing either computer vision or natural language processing applications leveraging ML models

Experience in leveraging GPUs to scale and measure ML solution performance (NVIDIA developer tools etc.)

Familiarity with Unix/Linux operating systems

Experience with cloud native application development or cloud infrastructure, Microservice architectures

This position requires the ability to obtain and maintain a security clearance, which is issued by the U.S. government. U.S. citizenship is required to obtain a security clearance

Transcripts required

Preferred

GPA 3.5 or higher

Active security clearance

Strong leadership skills

Familiarity with High Performance Computing hardware for ML (GPUs, TPUs), CUDA programming, and advanced ML optimization techniques and architectures

Experience with Slurm, Kubernetes or other cluster job orchestration frameworks leveraging GPU resources to run distributed ML training jobs at scale

Experience with building ML Solutions on edge and embedded hardware (ARM devices, Jetson Series, etc.)

Experience with Distributed and stream data processing, big data frameworks (Hadoop, Spark, Flink etc.)

Experience building scalable Agentic and Generative AI solutions for narrow-scoped use cases

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; 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