Verified Job On Employer Career Site
Job Summary:
SpaceX is actively developing technologies to enable human life on Mars, and they are seeking a Machine Learning Engineer for their Starshield project. This role involves building reliable processing systems for earth observation data and developing machine learning models to enhance constellation efficiency and information quality.
Responsibilities:
• Develop novel geospatial data processing models to extract information from raw and partially processed sensor data
• Create highly reliable software and machine learning systems that task remote sensor payloads on hundreds of satellites in low earth orbit and process the collected information
• See your modeling work and software through from start-to-finish: from figuring out the core needs to prototyping, developing, and testing; to production rollout and beyond
Qualifications:
Required:
• Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience in software development in lieu of a degree
• 1+ years of experience in applied machine learning engineering, full stack development, and data science
• 1+ years of development experience in C, C++, or Python experience
Preferred:
• Experience applying modern computer vision algorithms at scale
• Experience with software that has been used in real-world applications and projects
• Experience with AWS or building inside of cloud environments
• Experience with developing within Linux server environments, SSH, scripting, and configuration
• Experience with Kubernetes or similar container orchestration frameworks
• Experience with PostgreSQL or implementing highly performant databases
• Ability to obtain and maintain a Top Secret or Top Secret SCI clearance
Company:
SpaceX is an aviation and aerospace company that designs, manufactures, and launches rockets and spacecraft. Founded in 2002, the company is headquartered in Hawthorne, California, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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