Remote Principal Machine Learning Engineer

Description:

• Lead the development of machine learning models to analyze and interpret data from space missions, enhancing understanding of the cosmos and improving mission efficiency.
• Design and implement AI-driven systems for autonomous spacecraft navigation, anomaly detection, and real-time decision-making in complex space environments.
• Collaborate with astronomers, engineers, and data scientists to integrate AI into space exploration programs.
• Develop predictive models for space weather and celestial phenomena, aiding in mission planning and risk assessment.
• Apply machine learning to process and analyze satellite imagery for Earth observation, planetary science, and resource mapping.
• Spearhead research initiatives to leverage AI in life support systems, habitat automation, and sustainable space living solutions.
• Establish scalable data pipelines and infrastructure to support AI/ML operations in space and ground-based systems.
• Promote a culture of continuous learning and experimentation in AI, machine learning, and space technology.
• Engage in cross-sector collaborations to drive innovation in space technology.
• Mentor and lead a team of machine learning engineers and data scientists.

Requirements:

• Passion for space exploration and a desire to contribute to pioneering space missions.
• 6+ years of experience in machine learning and AI, with expertise in robotics, remote sensing, or autonomous systems.
• Advanced understanding of ML algorithms, data processing, and statistical methods.
• Proficiency in Python, C++, TensorFlow, PyTorch, and Huggingface.
• Excellent analytical, problem-solving, and communication skills.
• Master’s or PhD in Computer Science, Aerospace Engineering, Astrophysics, or related field.
• Preferred: experience in the space industry, published research in AI/ML for space exploration, knowledge of satellite communication systems, experience in simulating space missions.

Benefits:

• Competitive salary range ($210k - $290k) with equity options.
• Opportunities to contribute to high-profile space missions and technologies.
• Flexible work arrangements, including remote work options.
• Comprehensive health, dental, and vision insurance.
• Support for mental and physical wellness.
• Continuous learning opportunities in space technology and AI.
• Collaborative and innovative work environment.