Principal Machine Learning Engineer

April 12

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Description

• Lead the development of machine learning models to analyze and interpret vast amounts of data from space missions, enhancing our 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 our space exploration programs, ensuring the seamless operation of spacecraft and rovers. • Develop predictive models for space weather and celestial phenomena, aiding in mission planning and risk assessment. • Innovate in the field of remote sensing, applying machine learning to process and analyze satellite imagery for Earth observation, planetary science, and resource mapping. • Spearhead research initiatives to leverage AI in the development of 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, staying abreast of advancements in AI, machine learning, and space technology. • Engage in cross-sector collaborations to drive innovation in space technology, participating in conferences, workshops, and industry consortia. • Mentor and lead a team of machine learning engineers and data scientists, guiding project direction and fostering professional growth.

Requirements

• Passionate about space exploration and a strong desire to contribute to pioneering space missions. • 6+ years of experience in machine learning and AI, with specific expertise in areas relevant to space technology, such as robotics, remote sensing, or autonomous systems. • Advanced understanding of ML algorithms, data processing, and statistical methods, with the ability to apply these in high-stakes, technically complex environments. • Proficiency in programming languages such as Python and C++, and familiarity with ML frameworks like TensorFlow, PyTorch, and Huggingface. • Excellent analytical, problem-solving, and communication skills, with experience in interdisciplinary collaboration. • A Master’s or PhD in Computer Science, Aerospace Engineering, Astrophysics, or a related field. • Direct experience in the space industry or working on space-related technology projects. • Published research or demonstrated innovation in the application of AI/ML to space exploration, robotics, or Earth observation. • Knowledge of satellite communication systems and data transmission in space environments. • Experience with simulating space missions or developing AI systems for space operations.

Benefits

• Competitive salary range ($210k - $290k) with equity options in a pioneering space exploration company. • Unique opportunities to contribute to high-profile space missions and technologies. • Flexible work arrangements, including remote work options and a focus on work-life balance. • Comprehensive health, dental, and vision insurance, with additional support for mental and physical wellness. • Continuous learning and development opportunities, including access to seminars, workshops, and training in space technology and AI. • A collaborative and innovative work environment, where creativity and groundbreaking ideas are actively encouraged and supported.