The Aerospace Corporation is looking to solve the hardest problems in space programs, providing innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers.
Requirements
- 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.)
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
Other
- 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
- Must work well in a team environment
- Possess organizational, time management and project management skills
