Principal Machine Learning Engineer

Found in: Jooble US O C2 - 2 weeks ago


San Francisco CA, United States Unreal Gigs Full time

Job Description About the Company: Our company is at the forefront of space exploration and technology, dedicated to unlocking the mysteries of the universe and making space more accessible. We are pioneering new technologies in spacecraft design, propulsion, and remote sensing, with a focus on sustainable exploration and the utilization of space resources. Join us to be part of a visionary team of space enthusiasts and technologists who are shaping the future of interplanetary travel and exploration, where your work contributes to groundbreaking missions and the expansion of human presence in space.
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.
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.
Mentor and lead a team of machine learning engineers and data scientists, guiding project direction and fostering professional growth.
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.
~ 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.
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.


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