Perceptive Space Systems is hiring a Machine Learning Scientist

Innovative Space Intelligence Solutions is developing a strategic decision platform to assist satellite and launch operators in mitigating risks associated with space environmental challenges. We operate at the convergence of aerospace technology, artificial intelligence, and real-time system design, integrating advanced modeling, sensor integration, and autonomous capabilities to enhance orbital operational resilience. Read more here. Embark on a journey at the cutting edge of space technology and artificial intelligence You will construct foundational technological infrastructure enabling satellites, launch vehicles, and human missions to operate securely and efficiently within challenging space environments. As part of our compact, high-performance team, you'll navigate the intersection of aerospace, autonomy, and applied AI, addressing tangible challenges with immediate mission significance. This role is perfectly suited for entrepreneurial engineers seeking to construct from fundamental principles, accelerate progress, and comprehensively manage core systems while demonstrating proactive initiative, thriving amid uncertainty, and embracing a demanding startup ecosystem. What You'll Accomplish - Develop and assess machine learning models for temporal forecasting and spatial-temporal dynamics - Create experimental frameworks to evaluate model generalization, uncertainty, and physical system relevance - Incorporate domain expertise, external signals, and prior constraints to enhance model performance - Refine model effectiveness through feature engineering, architectural optimization, and validation methodologies - Collaborate with aerospace professionals, software engineers, and domain specialists to implement ML systems - Remain current with emerging developments in machine learning for dynamic systems, forecasting, and scientific modeling Requirements - 2+ years of industry experience following advanced academic credentials in Physics, Aerospace, Electrical Engineering, Applied Mathematics, or related disciplines - Demonstrated experience in rapid, high-ownership machine learning roles within innovative startup environments - Advanced Python proficiency and expertise with deep learning frameworks - Proficiency with advanced computational tools and frameworks - Robust background in temporal data modeling and sequential analysis - Capability to work with multidimensional datasets and integrate contextual domain information - Comprehensive software engineering foundations - Experience deploying machine learning solutions on cloud platforms - Proven track record of delivering production-ready machine learning models - Ability to articulate model characteristics, assumptions, and limitations - Exceptional interdisciplinary communication and collaboration skills Bonus Qualifications - Startup or cross-disciplinary research experience - Background in scientific modeling and physics-governed systems - Knowledge of uncertainty quantification techniques - Demonstrated contributions to open-source machine learning libraries Additional Requirements - Fully remote position with mandatory Eastern Time zone availability Benefits - Opportunity to pioneer AI and aerospace technological innovations - Competitive stock-based compensation - Comprehensive health and benefits package - Fully distributed team environment - Potential for technical leadership as organizational scaling occurs