Tech Stack

Description

You will design, build, and test machine learning models and systems for spacecraft autonomy, anomaly detection, NLP, and more. Collaborate with cross-functional teams to apply ML to real-world space industry problems and push the state of the art.

Requirements

• B.S. in Computer Science, Machine Learning, or related field
• 5-8 years of relevant experience
• Strong understanding of neural networks (feedforward, RNN, CNN, attention)
• Proficient with PyTorch, TensorFlow, or Jax
• Ability to implement new methods from research papers

Responsibilities

• Apply ML first principles to projects in spacecraft navigation, autonomy, signal extraction, NLP, and multi-agent reinforcement learning
• Lead development of advanced ML models and AI-driven solutions
• Research and implement emerging ML technologies and techniques
• Contribute to strategic decision-making and technical roadmaps
• Work with interdisciplinary teams to apply ML algorithms to space industry problems