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AI Research Scientist - Space Exploration

Orion Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Orion Quantum Dynamics at the forefront of cosmic innovation. We're pioneering next-generation AI systems to decode celestial phenomena and enable humanity's next leap into deep space. As an AI Research Scientist, you'll architect autonomous systems that analyze exoplanetary data, optimize interplanetary navigation, and simulate cosmic environments with unprecedented accuracy. Collaborate with astrophysicists and quantum computing experts to transform theoretical space exploration into tangible reality. This role offers unparalleled opportunities to shape humanity's future among the stars.

Responsibilities

  • Develop cutting-edge machine learning models for astrophysical data interpretation and anomaly detection
  • Design quantum-inspired algorithms for autonomous spacecraft navigation and trajectory optimization
  • Lead research on adaptive AI systems for real-time planetary environment simulation
  • Collaborate with cross-disciplinary teams to integrate AI solutions into space mission architectures
  • Publish breakthrough research in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and drive innovation in quantum-AI hybrid systems

Qualifications

  • PhD in Computer Science, AI, Astrophysics, or related field (or equivalent research experience)
  • 5+ years of applied machine learning research with focus on deep learning or quantum computing
  • Expertise in Python, TensorFlow/PyTorch, and high-performance computing frameworks
  • Published work in top-tier AI or space technology conferences (NeurIPS, ICML, AIAA)
  • Experience with astronomical data analysis (JWST, Hubble, or TESS datasets)
  • Strong background in reinforcement learning for autonomous systems
  • Ability to translate complex astrophysical concepts into actionable AI solutions

Required Skills

Machine Learning Quantum Computing Astrophysics TensorFlow Python Reinforcement Learning Deep Learning Autonomous Systems Data Science

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