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
- Experience with and understanding of machine learning and artificial intelligence, software engineering, and statistics
- Experience with PyTorch, Q-Learning, Bayesian Networks
- Familiarity with Unix/Linux operating systems
- Previous research experience
- Experience with semantic segmentation models
- Proficiency in Python
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
- Strong written and oral communication skills
- Must work well in a team environment
- Possess organizational, time management and project management skills
- Demonstrate flexibility and ability to adapt to changing organizational need
- Bachelor’s degree from an accredited college/university program in Computer Science, Data Science, or related discipline (pursuing or conferred within last 12 months)
