Advanced Space is looking to solve real-world problems in domains such as spacecraft autonomy, anomaly detection and classification, natural language processing, uncertainty quantification, and multimodal signal detection & characterization using machine learning models and systems
Requirements
- Strong understanding of algorithms, data structures, and system design principles
- Strong understanding of the basics of neural networks (i.e., feedforward, recurrence, convolution, attention)
- Able to understand and implement new methods
- Familiarity with a variety of methods (i.e. reinforcement learning, supervised/unsupervised learning, principal components analysis, clustering, regression, classification)
- Understands system design and architecture
- Confident in writing a neural network model from scratch
- Proficient with PyTorch, TensorFlow, Jax, or equivalent
Responsibilities
- Apply ML first principles and engineering intuition to projects such as fast & accurate models of physical systems, spacecraft navigation, spacecraft autonomy, signal extraction from noisy data, natural language processing, internal company tools, multi-agent reinforcement learning, and approximate optimal maneuver design
- Lead the development of advanced ML models and AI-driven solutions
- Research and implement emerging ML technologies and techniques
- Improve model interpretability, scalability, and efficiency
- Contribute to strategic decision-making and technical roadmaps
- Work with interdisciplinary, cross-functional teams to apply machine learning / artificial intelligence algorithms to a variety of problems in the space industry
- Find, digest and apply knowledge from research publications to assigned tasks
Other
- B.S. in Computer Science, Machine Learning, Software Engineering, Aerospace Engineering, or another physical science or engineering discipline or equivalent work experience
- 5-8 years of relevant experience
- US Person
- Handle a broad range of tasks, from bug fixes to feature development
- Unlimited vacation time and extensive flexibility
