2027 Machine Learning Engineering Graduate Intern
Core
Developing and executing machine learning and data science experiments for mission-critical applications in domains like NLP, computer vision, and time series analysis.
Role type
Machine Learning Engineering Intern
Builds
Scalable and resilient mission-critical AI and data-enabled tools for defense and space customers
Domain
Aerospace, Defense, Cyber Security
Deliverable
production ML models
Required skills
Python, PyTorch, Docker, Kubernetes, MLOps, MLFlow, Data Version Control, GPU programming, Unix/Linux, Cloud native development, Microservices
Preferred skills
CUDA programming, High Performance Computing, Distributed data processing, Generative AI, Edge computing
Technologies
PyTorch, Docker, Kubernetes, MLFlow, NVIDIA tools, Slurm, Hadoop, Spark, Flink
Responsibilities
Develop and execute ML experiments; Evaluate models for mission-critical use; Collaborate on feature delivery; Present results to stakeholders
Seniority
Intern