2027 Machine Learning Engineer Undergrad Intern

About the Role

The Aerospace Corporation is hiring a Machine Learning Engineer Undergrad Intern for the Data Science and Artificial Intelligence Department (DSAID) within the Information Systems and Cyber Division (ISCD). The selected candidate will work full-time, onsite at our facility in Chantilly, VA or El Segundo, CA. This role involves developing and executing machine learning and data science experiments, evaluating technologies for mission-critical applications, collaborating with diverse teams, and presenting results to stakeholders.

Responsibilities

• Developing and executing machine learning and data science experiments in domains such as natural language processing, computer vision, time series analysis, and reinforcement learning.
• 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.

Requirements

• 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, artificial intelligence, software engineering, and statistics.
• Experience with software engineering concepts focused on AI (MLOps/DevOps, ML Development Lifecycle, Scalable ML Architecture, etc.).
• Familiarity with MLOps processes and tools (MLFlow, Data Version Control, etc.).
• Knowledge of computer vision 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 U.S. government security clearance (U.S. citizenship required).
• Transcripts required.

Qualifications

• Strong written and oral communication skills.
• Ability to work well in a team environment.
• Organizational, time management, and project management skills.
• Flexibility and adaptability to changing organizational needs.
• Interpersonal skills to coordinate efforts and work with internal and external organizations.

Skills

• High Performance Computing hardware for ML (GPUs, TPUs), CUDA programming, and advanced ML optimization techniques.
• Experience with Slurm, Kubernetes, or other cluster job orchestration frameworks leveraging GPU resources for distributed ML training.
• Experience 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.

How You Can Stand Out

• GPA of 3.5 or higher.
• Active security clearance.
• Strong leadership skills.

Pay

The grade-based pay range for this job is $26.00 - $30.00 per hour. Individual salaries within that range are determined through factors including education, experience, knowledge, and skills.

Benefits

• Comprehensive health care and wellness plans.
• Paid holidays, sick time, and vacation.
• Standard and alternate work schedules, including telework options.
• 401(k) Plan with company-paid contributions.
• Flexible spending accounts.
• Variable pay program for exceptional contributions.
• Relocation assistance.
• Professional growth and development programs.
• Education assistance programs.
• Inclusive work environment built on teamwork, flexibility, and respect.