JOB POSTS
Data Scientist II
NASA JET PROPULSION LABORATORY (JPL)
Pasadena, CA, USA (On-site)
$122,720 - $135,512
The Artificial Intelligence Group at JPL is seeking to hire for the development of autonomous space systems. The role focuses on fundamental research and software applications for spacecraft autonomy, scientific data analysis, mission operations automation, and onboard analysis for real-time decision-making. Projects involve automating ground and flight operations for communications stations, space missions, and various autonomous vehicle fleets.
Responsibilities:
Develop planning, scheduling, resource allocation, and execution algorithms for autonomous systems to interpret complex state, resource, constraint, and event data.
Develop and use search-based, constraint-based, satisfaction, and optimization systems for large-scale planning problems.
Develop machine learning systems for remote sensing imagery interpretation and large multi-modal models for reasoning about imagery, time, patterns, and ramifications.
Qualifications:
Education/Experience: Bachelor's degree + 3 years experience, Master's degree + 1 year experience, or a PhD in Computer Science or a related discipline.
Technical Skills: Knowledge of AI/operations research; experience in programming languages (Rust, C++, C, Python, and Java); experience architecting large models and deep learning pipelines.
Specialized Knowledge: Proficiency in large models (VLM, LLM, Foundation models) including training, deploying, and evaluation.
Preferred: Hands-on experience with robotic autonomous systems, interdisciplinary team leadership, and experience writing proposals/research publications.
Salary Range: $122,720 - $135,512 (Annual full-time equivalent).
HOW TO APPLY
To apply, please visit the JPL Careers page at https://www.jpl.jobs/search-results and search for requisition R5624 to submit an application. As a federal facility, JPL requires applicants to be U.S. Citizens, Legal Permanent Residents, or have other protected status under 8 U.S.C. 1324b(a)(3).
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