ZipRecruiter

Log In

1

Machine Learning Nasa Jobs (NOW HIRING)

BWXT

Nuclear Engineering Data Scientist

Lynchburg, VA · Hybrid

Department of Energy and NASA facilities. BWXT's technology is driving advances in medical ... Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional ...

Amentum

Orion GN&C Engineer

Houston, TX · On-site

... NASA civil servants and contractor employees. * Experience with Microsoft Office products Requisition Preferences: * Knowledge of Artificial Intelligence and/or Machine Learning * Experience with ...

BWXT

Nuclear Engineering Data Scientist

Lynchburg, VA · Hybrid

Department of Energy and NASA facilities. BWXT's technology is driving advances in medical ... Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional ...

Halvik

Software Developer

Greenbelt, MD · On-site

... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special! Position Overview NASA SEWP is seeking a mid-level Java Software Developer to ...

Halvik

Software Developer

Greenbelt, MD · On-site

$100K - $110K/yr

... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special! Position Overview NASA SEWP is seeking a mid-level Java Software Developer to ...

previous page

Showing results 41-60

All JobsMachine Learning Nasa Jobs

Machine Learning Nasa information

What does a machine learning specialist at NASA do?

Machine Learning specialists at NASA use advanced algorithms and data analysis techniques to help solve complex problems in space exploration and research. Their work includes developing models for spacecraft navigation, analyzing satellite imagery, predicting equipment failures, and supporting scientific discoveries through data-driven insights. By leveraging artificial intelligence and machine learning, they help NASA make more accurate predictions, automate processes, and enhance mission safety and efficiency.

What are the key skills and qualifications needed to thrive as a machine learning scientist at NASA?

To thrive as a Machine Learning Scientist at NASA, you need a solid background in computer science, mathematics, and statistics, typically supported by an advanced degree in a related field. Proficiency with programming languages like Python or R, familiarity with machine learning libraries (such as TensorFlow or PyTorch), and experience with large-scale data analysis are essential. Strong problem-solving skills, creativity, and the ability to collaborate across multidisciplinary teams help set top candidates apart. These skills and qualities are crucial for developing innovative AI solutions that support NASA’s scientific missions and research objectives.

What are common challenges faced by machine learning professionals working at NASA, and how can applicants prepare for them?

Machine learning professionals at NASA often work with complex, high-dimensional datasets collected from space missions, satellites, and simulations, which can present unique challenges such as data sparsity, noise, and the need for robust, interpretable models. Collaboration with scientists and engineers from diverse backgrounds is frequent, requiring excellent communication skills to translate technical findings into actionable insights. To prepare, applicants should familiarize themselves with domain-specific data, stay updated on the latest advancements in machine learning, and practice interdisciplinary teamwork to effectively contribute to NASA's innovative projects.
More about Machine Learning Nasa jobs
What cities are hiring for Machine Learning Nasa jobs? Cities with the most Machine Learning Nasa job openings:
What states have the most Machine Learning Nasa jobs? States with the most job openings for Machine Learning Nasa jobs include:
What job categories do people searching Machine Learning Nasa jobs look for? The top searched job categories for Machine Learning Nasa jobs are:
Machine Learning Nasa jobs near you
Infographic showing various Machine Learning Nasa job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Digital Preservation Specialist

Rothe Development, Inc.

Houston, TX

$69K - $80K/yr

Full-time

Posted 13 days ago

Job description

Digital Preservation Specialist
Rothe is seeking a Digital Preservation Specialist to support NASA’s imagery preservation and migration portfolio in support of the NASA Enterprise Multimedia and Integrated Technical Services (eMITS) contract. eMITS is the Agency’s enterprise-level contract creating and delivering multimedia and technical communications NASA’s OCIO and Office of Communications (OCOMM). From photographing rocket launches and recoveries, producing NASA TV segments, to information technology management, to using social media to share NASA’s message, eMITS integrates services for NASA IT and provides NASA’s communication to the outside world. Come join us in support of NASA’s mission to inspire the world through information and discovery.
Job Description:
The NASA Johnson Space Center imagery collection has over 50,000 video tapes and LTO data tapes that need to be converted to digital files and migrated onto a long-term storage platform. The project is looking to transition to a different storage platform and implement elements of Artificial Intelligence (AI) and/or Machine Learning (ML) tools into the workflow. Descriptive metadata from 3 different websites/databases and multiple spreadsheets must be consolidated to ensure the most accurate metadata is attached to the records which will eventually be accessioned to the National Archives.
Functional Responsibilities:
Primary Duties
  • Create, validate, normalize, and maintain descriptive, technical, administrative, and preservation metadata.
  • Perform metadata quality assurance and resolve inconsistencies across multiple cataloging systems.
  • Execute cataloging processes in accordance with organizational metadata standards and archival best practices.
  • Prepare migrated assets for long-term archival storage and digital asset management systems.
  • Monitor workflow status, identify bottlenecks, and provide regular project status updates.
  • Coordinate with digitization vendors, engineering teams, archivists, and content owners to resolve operational issues.
  • Maintain detailed documentation of migration procedures, workflows, and processing standards.
  • Conduct quality control reviews to verify file integrity, metadata completeness, and successful archival.
  • Support reporting on project milestones, asset counts, processing rates, and completion metrics.
  • Follow established preservation, security, and records management policies throughout the migration process.
Remote, hybrid, and onsite positions the employee bears travel costs to nearest NASA Center for badging and issue of NASA IT equipment.
Education and Experience:
Minimum Education: Requires a BA/BS degree in Digital Media, Multimedia Production, Film/Video Production, Photography, Visual Communications, Information Science, Archival Studies, or a closely related field.
Minimum Experience: Minimum of 3 years of experience supporting media asset management, archives, digital preservation, library services, or related operational environments.
Minimum Qualifications:
  • Experience working with metadata standards and cataloging practices.
  • Experience with audiovisual preservation or media digitization projects.
  • Familiarity with digital asset management (DAM), media asset management (MAM), or archival systems.
  • Knowledge of metadata standards such as Dublin Core, PBCore, MODS, or MARC.
  • Familiarity with digital preservation frameworks and archival best practices.
  • Experience working with XML, CSV data manipulation, or metadata transformation tools.
  • Understanding of file formats, codecs, and digital media lifecycle management.
  • Strong organizational skills with exceptional attention to detail.
  • Strong analytical and problem-solving skills.
  • Ability to manage multiple concurrent workflows and meet project deadlines.
  • Excellent written and verbal communication skills.
  • Proficiency with Microsoft Office Suite, spreadsheets, and database applications.
Preferred Qualifications:
  • Master’s Degree in Library Information Science, Archival Studies, or a related discipline is preferred.
  • Experience/familiarity with AI/ML tools and functionality in an archival setting.
  • Digital Asset Specialist (DAS) certification.
Rothe is an EEO/AA/Disability/Vets Employer and complies with E-Verify.
Rothe shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sexual orientation, gender identity, national origin, disability or veteran status.

Apply