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Machine Learning Nasa Jobs (NOW HIRING)

DSAID's customers range from National Security Space (AF, NRO, etc.) to civil (NASA, NOAA, etc ... Developing and executing machine learning and data science experiments, in the domains of natural ...

DSAID's customers range from National Security Space (AF, NRO, etc.) to civil (NASA, NOAA, etc ... Developing and executing machine learning and data science experiments, in the domains of natural ...

Data Scientist

El Segundo, CA · On-site

$95 - $143/hr

... NASA, MDA, DHS, etc.). The selected candidate will be required to work full-time on-site at our ... Developing and executing machine learning and data science experiments, in the domains of natural ...

Data Scientist

El Segundo, CA · On-site

$95K - $142K/yr

DSAID's customers range from National Security Space (AF, NRO, etc.) to civil (NASA, NOAA, etc ... Developing and executing machine learning and data science experiments, in the domains of natural ...

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112K - $154K/yr

... with learning systems proven in globally deployed solutions that deliver results today and get ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112K - $154K/yr

... with learning systems proven in globally deployed solutions that deliver results today and get ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

WI · On-site

$90 - $150/hr

As NASA's largest engineering solutions provider, we work together with NASA at centers across the ... GitLab, machine learning, debugging, collaborative development, code reviews. Why Join Our Team?

Showing results 21-40

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.

Does NASA use machine learning?

NASA employs machine learning techniques across various projects, including satellite data analysis, spacecraft navigation, and climate modeling. Machine learning helps improve data processing efficiency and supports autonomous systems in space exploration. Job roles in this field often require knowledge of data science, programming, and domain-specific applications.
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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, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Postdoc: Millimeter-Wave Radar Systems, Remote Sensing, and Machine Learning

JPL

Pasadena, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


Job description

Job Details
New ideas are all around us, but only a few will change the world. That's our focus at JPL. We ask the biggest questions, then search the universe for answers-literally. We build upon ideas that have guided generations, then share our discoveries to inspire generations to come. Your mission-your opportunity-is to seek out the answers that bring us one step closer. If you're driven to discover, create, and inspire something that lasts a lifetime and beyond, you're ready for JPL.
Located in Pasadena, California, JPL has a campus-like environment situated on 177 acres in the foothills of the San Gabriel Mountains and offers a work environment unlike any other: we inspire passion, foster innovation, build collaboration, and reward excellence.
JPL is unique among NASA Centers in that its staff are Caltech employees, yet can access NASA technical resources. Cross-discipline teamwork is standard here: colleagues across JPL's science and engineering organizations and on Caltech's academic campus often work together. Learning to speak and understandother disciplines' languages is a doorway to the creativity needed to do what has not been done before. JPL staff are encouraged to create mission concepts that address humanity's core questions through a combination of science and technology. They are supported in developing ideas into proposals andhardware, and in communicating funded missions' results to the scientific community and the broader public. JPL seeks to employ scientists and engineers who are passionate about lifelong learning and excited to both contribute to and lead team efforts. We emphasize the importance of partnering across discipline boundaries and creating a friendly, constructive work environment to overcome space exploration's challenges. The Postdoctoral scholars at JPL benefit from an informal mentoring network, an annual conference showcasing their results, a dedicated seminar series, exposure to diverse career paths, and social connections across the JPL and Caltech community for advice on housing, childcare, and other aspects of living in southern California.
JPL's RF Remote Sensing Systems and Technology Section is seeking a postdoc who will serve as a key bridge between radar hardware development and science applications, conducting research that advances end-to-end radar system performance and enables innovative approaches for cloud and precipitation observations. The position offers opportunities to develop and apply machine learning techniques to radar observations, improve calibration and retrieval methodologies, analyze large atmospheric datasets, and publish high-impact scientific results that advance the state of the art in microwave remote sensing.
Research Responsibilities
  • Conduct independent research on millimeter-wave radar systems for atmospheric remote sensing.
  • Develop and evaluate calibration techniques, retrieval algorithms, and advanced data analysis methods for cloud and precipitation observations.
  • Apply machine learning and statistical approaches to radar measurements and geophysical retrievals.
  • Support radar system characterization, testing, and performance evaluation.
  • Analyze large observational datasets and develop software tools for scientific data processing.
  • Publish research findings in peer-reviewed journals and present results at national and international conferences.
  • Collaborate with multidisciplinary teams spanning radar hardware development, remote sensing science, and data analytics.

Required Qualifications
  • Ph.D. in Electrical Engineering, Atmospheric Science, Remote Sensing, Physics, Computer Science, Earth Science, or a closely related field.
  • Experience in radar remote sensing, RF systems, microwave instrumentation, or related experimental research.
  • Strong background in scientific programming using Python, MATLAB, or similar programming languages.
  • Experience analyzing large scientific datasets using statistical or computational methods.
  • Demonstrated record of peer-reviewed publications and excellent written and oral communication skills.

The appointee will carry out research in collaboration with JPL advisor, resulting in publications in the open literature.
Applicants may be subject to additional program requirements by NASA. Postdoc positions are awarded for a minimum of one-year period and may be renewed up to a maximum of four years. Candidates should submit the following to this site: CV, representative publications, contact information for three references, and a cover letter stating their research accomplishments and interests.
JPL has a catalog of benefits and perks that span from the traditional to the unique. This includes a variety of health, dental, vision, wellbeing, and retirement plans, paid time off, learning, rideshare, childcare, flexible schedule, parental leave and many more. Our focus is on work-life balance, and living healthy, fulfilling lives as we Dare Mighty Things Together. For benefits eligible positions, benefits are effective the first day of the month coincident with or immediately following the employee's start date.
For further benefits information click Benefits and Perks
The hiring range displayed below is specifically for those who will work in or reside in the location listed. In extending an offer, Jet Propulsion Laboratory considers factors including, but not limited to, the candidate's job related skills, experience, knowledge, and relevant education/training.
The typical full time equivalent annual hiring range for this job in Pasadena, California.
$83,820 - $83,820
JPL is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, citizenship, ancestry, age, marital status, physical or mental disability, medical condition, genetic information, pregnancy or perceived pregnancy, gender, gender identity, gender expression, sexual orientation, protected military or veteran status or any other characteristic or condition protected by Federal, state or local law.
In addition, JPL is a VEVRAA Federal Contractor.
EEO is the Law.
EEO is the Law Supplement
Pay Transparency Nondiscrimination Provision
The Jet Propulsion Laboratory is a federal facility. Due to rules imposed by NASA, JPL will not accept applications from citizens of designated countries or those born in a designated country unless they are U.S. Citizens, Legal Permanent Residents of the U.S or have other protected status under 8 U.S.C. 1324b(a)(3). The Designated Countries List is available here.