1

Machine Learning Nasa Jobs in West Virginia (NOW HIRING)

Machine Learning Nasa information

See West Virginia salary details

$19.4K

$107.8K

$196.8K

How much do machine learning nasa jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning nasa in West Virginia is $107,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,909.00 and $145,625.00 per year, depending on experience, location, and employer.

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.
What job categories do people searching Machine Learning Nasa jobs in West Virginia look for? The top searched job categories for Machine Learning Nasa jobs in West Virginia are:
Infographic showing various Machine Learning Nasa job openings in West Virginia as of June 2026, with employment types broken down into 41% Full Time, 58% Part Time, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $107,838 per year, or $51.8 per hour.

Assistant/Associate Professor - Computer Science and AI/ML - College of Engineering and Mineral Reso

West Virginia University

Morgantown, WV • On-site

Full-time

Re-posted 24 days ago


West Virginia University rating

6.9

Company rating: 6.9 out of 10

Based on 61 frontline employees who took The Breakroom Quiz

458th of 618 rated colleges and universities


Job description

Description
WEST VIRGINIA UNIVERSITY
STATLER COLLEGE OF ENGINEERING AND MINERAL RESOURCES
FACULTY POSITION IN COMPUTER SCIENCE AND AI/ML
The Statler College of Engineering and Mineral Resources at West Virginia University (WVU) invites applications for a tenure-track faculty position at the rank of Assistant or Associate Professor in the area of computer science with focus on AI/ML. The appointment shall be in the Lane Department of Computer Science and Electrical Engineering. Specialty areas of interest for this search include but are not limited to theory and applications of artificial intelligence (AI)/ machine learning (ML) in robotics, health, biometrics, and cybersecurity; autonomous systems, human-machine interface, and cyber-physical systems.
West Virginia University is designated an R1 University (Highest Research Activity) by the Carnegie Classification of Institutions of Higher Education. The Statler College is growing and currently has seven academic departments, with about $51M in annual external research expenditures. The Lane Department of Computer Science and Electrical Engineering has 30 faculty members and approximately 700 undergraduate and 120 graduate students. The successful candidate will greatly benefit from the resources offered by the Lane Department, Statler College, WVU Robotics Program, WVU Data Science Program, WVU Energy Institute, WVU Health Sciences Center (HSC), WVU Rockefeller Neuroscience Institute (RNI), Biometrics Center, Cybersecurity Center and the National Energy Technology Laboratory (NETL). The WVU Robotics program has a strong track record of success winning 9 national or international robotics competitions since 2011. Robotics faculty in the Lane Department are currently engaged in several research projects, including F1Tenth, Smart City, Virtual and Augmented reality, cybersecurity of Drones, and AI-based control, amongst others. The department also offers a Bachelor of Science Robotics Engineering in partnership with the Mechanical, Materials and Aerospace Engineering (MMAE) in the Statler College. The Lane Department also conducts cutting-edge work in the digital health. WVU is designated by the National Security Agency (NSA) and the Department of Homeland Security (DHS) as a National Center of Academic Excellence in both Cyber Defense Research and Cyber Defense Education. WVU is a member of the USCYBERCOM academic engagement network (AEN) and the AFRL Information Institute. WVU is the founding site in the multi-university Center for Identification Technology Research (CITeR), an NSF Industry/University Cooperative Research Center (I/UCRC) with many center-funded opportunities for new faculty working in biometrics, machine learning, and computer vision. In 2018, the Lane Department launched an undergraduate degree in Cybersecurity and offers both undergraduate and graduate areas of emphasis in Cybersecurity. Department has very active teaching and research programs in power and energy systems. Significant resources are available to attract top-notch students into the program. For instance, a recent grant from the National Science Foundation has created 120 annual scholarships over five years for undergraduates studying cybersecurity. The Department also offers a graduate area of emphasis in a) Artificial Intelligence and Computational Data Science, b) Cyber-Physical and Complex Systems, c) Cybersecurity and Networked Systems, d) Microelectronics and Embedded Systems, and certificate in digital health. The Department is home to a master's in Software Engineering program and that is fully online and highly ranked, as well as a new online master's in Artificial Intelligence and master's in Cybersecurity programs.
Morgantown lies within a high technology corridor that includes several federal research facilities, such as the NASA Katherine Johnson Independent Verification and Validation Facility (IV&V), U.S. Department of Energy's National Energy Technology Laboratory (NETL), the National Institute of Occupational Safety and Health (NIOSH), and the Federal Bureau of Investigation (FBI). Additional details on the area and the university are available at http://www.morgantownwv.gov and https://www.wvu.edu.
Morgantown is a safe, inclusive, and family-friendly community and is ranked among the most livable small cities in the country with a close proximity to Pittsburgh, PA, and Washington, DC. WVU provides faculty members with a supportive environment for developing a visible and productive career and a range of progressive policies to support work-life integration. WVU also offers a Dual Career Program to assist partners in their career transition.
Qualifications
Eligible candidates must hold an earned Doctorate degree in computer science, computer engineering, electrical engineering or a closely related field, at the time of appointment. The successful candidates must demonstrate the ability or potential to (1) develop and sustain an independent, internationally recognized and competitive externally-sponsored research program, (2) collaborate effectively within multi-disciplinary teams of faculty and other researchers across WVU campus, other academic and government institutions, as well as the private sector, (3) teach courses at both the undergraduate and graduate levels, and (4) perform professional service activities within and outside the university. A notable record of peer-reviewed publications and other scholarly activities, effective communication skills, and evidence of potential to attract competitive research funding are required for this position. Candidates for the rank of Associate Professor must have an outstanding record of teaching, research, and service.
To apply for this position, visit https://careers.wvu.edu/career-opportunities. Applicants must submit a cover letter that indicates the candidate's specialty area of interest, a curriculum vitae, a two-page research statement, a one-page statement of teaching philosophy, and contact information for at least three professional references. Screening of applications will begin immediately with an aggressive schedule until the position is filled. For further information, please contact Dr. Anurag Srivastava, Chair of the Lane Department, by e-mail (anurag.srivastava@mail.wvu.edu), or visit our website at https://lcsee.statler.wvu.edu.
West Virginia University is a place of purpose and community. We take pride in our profound impact on the state of West Virginia and are committed to the personal and professional growth of our employees.
From the groundbreaking R1 research at our flagship campus in Morgantown to the career-oriented programs at WVU Potomac State in Keyser, and the technology-intensive programs at WVU Tech in Beckley, the contributions of WVU employees resonate across the state, touching lives and shaping futures.
At WVU, you will discover a supportive community that champions work-life balance and fosters a collaborative atmosphere. Our core values - service, curiosity, respect, accountability and appreciation - unite us as Mountaineers.
Join us at West Virginia University, where your work will make a lasting impact. To learn more about WVU, visit wvu.edu.
West Virginia University is an Equal Opportunity Employer. We invite all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, genetic information, or Veteran status.

What West Virginia University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom