2027 Machine Learning Engineering Graduate Intern
About The Position
The Aerospace Corporation is seeking Machine Learning Engineering Interns for the Data Science and Artificial Intelligence Department (DSAID) within the Information Systems and Cyber Division (ISCD). DSAID is a diverse team of engineers, data scientists, and programmers passionate about researching, prototyping, and building AI and data-enabled tools for the space enterprise. They provide technical expertise in AI and Machine Learning to various customers, including the Missile Defense Agency, NASA, Space Development Agency, and the National Reconnaissance Office. Machine Learning Engineers work collaboratively in teams spanning various disciplines, experience levels, and organizational boundaries. This internship requires full-time, onsite work at facilities in El Segundo, CA, Chantilly, VA, or Colorado Springs, CO.
Requirements
- Currently enrolled full-time in an accredited college/university program pursuing a Master's or PhD 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 Master's or PhD degree program full-time after completion of the internship.
- Minimum GPA of 3.0
- Bachelor's degree completed by internship start date
- 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
- Ability to obtain and maintain a security clearance.
- U.S. citizenship is required to obtain a security clearance.
- Transcripts required.
Nice To Haves
- 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
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.
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
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What This Job Offers
Job Type
Full-time
Career Level
Intern
