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Machine Learning Nasa Jobs in Ohio (NOW HIRING)

Yulista

$15.25 - $19.75/hr

... NASA Glenn ResearchCenter provides engineering and technical services in the aeropropulsion and ... machining & metal fabrication, instrumentation, and welding) in a research environment. These ...

BWX Technologies

Data Engineer

Barberton, OH

$62K - $97K/yr

Department of Energy and NASA facilities. BWXT's technology is driving advances in medical ... Automate data pipelines and analytics, for machine learning, digital twins, and data modeling. Job ...

BWX Technologies

Data Engineer

Barberton, OH

$62K - $97K/yr

Department of Energy and NASA facilities. BWXT's technology is driving advances in medical ... Automate data pipelines and analytics, for machine learning, digital twins, and data modeling. Job ...

Galois, Inc.

Principal Scientist

Dayton, OH · On-site

With clients including NASA, DARPA, AWS, and the DoW, we leverage our cutting-edge research to ... Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis

BWXT

Quality Engineer

Euclid, OH

$65K - $103K/yr

Department of Energy and NASA facilities. BWXT's technology is driving advances in medical ... Familiarity with manufacturing processes such as machining - milling, turning, grinding and welding ...

BWX Technologies, Inc.

Quality Engineer

Euclid, OH · On-site

$65K - $103K/yr

Department of Energy and NASA facilities. BWXT's technology is driving advances in medical ... Familiarity with manufacturing processes such as machining - milling, turning, grinding and welding ...

BWX Technologies

Quality Engineer

Euclid, OH · On-site

$65K - $103K/yr

Department of Energy and NASA facilities. BWXT's technology is driving advances in medical ... Familiarity with manufacturing processes such as machining - milling, turning, grinding and welding ...

BWXT

Quality Engineer-Euclid,Ohio

Parma Heights, OH

$65K - $103K/yr

Department of Energy and NASA facilities. BWXT's technology is driving advances in medical ... Familiarity with manufacturing processes such as machining - milling, turning, grinding and welding ...

BWX Technologies

Quality Engineer

Euclid, OH

$103K/yr

Department of Energy and NASA facilities. BWXT's technology is driving advances in medical ... Familiarity with manufacturing processes such as machining - milling, turning, grinding and welding ...

BWX Technologies

Quality Engineer

Euclid, OH · On-site

$65K - $103K/yr

Department of Energy and NASA facilities. BWXT's technology is driving advances in medical ... Familiarity with manufacturing processes such as machining - milling, turning, grinding and welding ...

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All JobsMachine Learning Nasa JobsMachine Learning Nasa Jobs in Ohio

Machine Learning Nasa information

See Ohio salary details

$19.2K

$107K

$195.2K

How much do machine learning nasa jobs pay per year?

As of Jun 26, 2026, the average yearly pay for machine learning nasa in Ohio is $106,954.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,417.00 and $144,431.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and critical thinking, making them less susceptible to automation. Continuous learning and staying updated with new tools like TensorFlow or PyTorch are essential for these positions.

What do Machine Learning specialists 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, and why are they important?

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.

Can I work at NASA being a programmer?

Yes, NASA employs programmers and software engineers to develop and maintain systems for space missions, research, and data analysis. These roles typically require skills in programming languages such as Python, C++, or Java, along with a background in computer science or engineering. Security clearances and relevant experience are often necessary for employment at NASA.

Does NASA need AI engineers?

NASA employs AI engineers to develop machine learning algorithms and data analysis tools for space exploration, satellite data processing, and mission planning. These engineers work with advanced programming languages and AI frameworks to support NASA's scientific and operational objectives.

How much does NASA pay machine learning engineers?

NASA machine learning engineers typically earn between $80,000 and $130,000 annually, depending on experience, education, and security clearance. Salaries may also include benefits such as health insurance and retirement plans, and the role often requires proficiency in programming languages like Python and experience with data analysis tools.
What are popular job titles related to Machine Learning Nasa jobs in Ohio? For Machine Learning Nasa jobs in Ohio, the most frequently searched job titles are:
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Machine Learning Nasa jobs near you
Post Doc Fellow, Department of Chemical and Environmental Engineering

Post Doc Fellow, Department of Chemical and Environmental Engineering

University of Cincinnati

Cincinnati, OH • On-site

$47K - $63K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

University Of Cincinnati rating

7.4

Company rating: 7.4 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

289th of 539 rated colleges and universities

Job description

Current UC employees must apply internally via SuccessFactors 

Next Lives at the University of Cincinnati

Founded in 1819, the University of Cincinnati ranks among the nation’s best urban public research universities. Home to more than 53,600 students, 12,000 faculty and staff, and over 360,000 living alumni, UC, a Carnegie 1 institution, combines research prowess with a physical setting The New York Times has called “the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest cooperative education (co-op) program in the country with students earning $94 million annually through paid experiences, an academic health system, and as a member of the Big 12 Conference. The university contributes $10.6 billion in economic impact to the city and $22.7 billion to the state of Ohio. At UC, next is all of us. Learn more at uc.edu. 

UC is a mission-driven organization where we are committed to student success and positively transforming the community through scholarship and service.  We thrive on innovation, making an impact, and fostering an environment where staff and faculty are key contributors to UC’s success. 

Job Overview

The Terrestrial Hydrology Lab in the Department of Chemical and Environmental Engineering at the University of Cincinnati invites applications for a post-doctoral researcher. This role is central to a NASA-funded project dedicated to developing an advanced early warning system for river water quality management.

The research focuses on the hindcast and forecast of riverine turbidity and harmful algal blooms (HABs) by leveraging satellite observations and machine learning. By collaborating with end-user partners and developing user-centered data and tools, this project will bridge the gap between Earth observation data and actionable water quality management.

The initial appointment is for one (1) year, with potential renewal for an additional two (2) years contingent upon performance and funding. The start date is flexible between June 2026 and August 2026. 

Essential Functions

The successful candidate will be expected to:

  • Develop and implement a machine learning/deep learning model to systematically integrate multi-source Earth observations for predicting river turbidity and HABs.
  • Work closely with the science team and end-user partners to develop user-centered tools and implementation protocols that improve water quality decision-making.
  • Lead peer-reviewed publications and present research findings at major conferences.
Required Education

A Ph.D. in Hydrology, Geosciences, Environmental Engineering, Water Resources, Computer Science, Statistics, or a related field (must be conferred by the start date). 

Required Experience
  • In-depth knowledge of specialized field, process or discipline.
  • May require experience with specialized software programs. 
Additional Qualifications Considered
  • Strong background in satellite remote sensing and surface water quality processes.
  • Experiences in machine learning/deep learning, surface water quality modeling, and high-performance computing.
  • Demonstrated written and verbal communication skills, with a track record of leading high-quality scientific publications.
  • Experience in data visualization and the development of decision-support tools.
Physical Requirements/Work Environment
  • Office environment/no specific unusual physical or environmental demands.
Application Process Information

Applicants should complete our online application process by submitting the following materials:

  • A cover letter.
  • A curriculum vitae.
  • Contact information for three (3) references.

Review of applications will begin immediately and continue until the position is filled.

For Further Information
Questions and requests for further information should be directed to the search committee chair, Dr. Dongmei Feng, via email at fengdi@ucmail.uc.edu.

Compensation and Benefits

UC offers an exceptional benefits package designed to support your well-being, financial security, and work-life balance. (UC Benefits) Eligibility may vary by position and FTE status. Highlights include:

Salary/Hourly Pay Rate Information: 

Comprehensive Tuition Remission

UC provides tuition remission for you and your eligible dependents, covering tuition costs for nearly all undergraduate and graduate programs offered by the university.

Robust Retirement Plans

As a UC employee, you won’t contribute to Social Security (except Medicare). Instead, you’ll choose between state pension plans (OPERS, STRS) or an Alternative Retirement Plan (ARP), with UC contributing 14–18% of your salary based on position.

Real Work-Life Balance

UC prioritizes work-life balance with a generous time-off policy, including:

Vacation and sick time

11 paid holidays and additional end-of-year paid time off (Winter Season Days)

6 weeks of paid parental leave for new parents

Additional Benefits Include:

  • Competitive salary based on experience
  • Comprehensive health coverage (medical, dental, vision, prescription)
  • Flexible spending accounts & wellness programs
  • Professional development & mentorship opportunities

To learn more about why UC is a great place to work, please visit our Careers Page.

UC is an E-Verify employer.  If hired into this position, you will be required to provide satisfactory proof of employment eligibility by providing acceptable, original forms of identification for employment verification via the Federal I-9 employment verification process. Click here for a list of acceptable documents.  

Important: To apply you must create a profile and submit a complete job application through the UC applicant portal. We are unable to consider “easy apply” applications submitted via other websites. For questions about the UC recruiting process or to request accommodations with the application, please contact UC HR at jobs@uc.edu.

Equal Opportunity Employer.  Building a workplace where all qualified applicants will receive consideration for employment, including Individuals with Disabilities and Protected Veterans.

REQ: 102190

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