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Machine Learning Astronomy Jobs in Atlanta, GA (NOW HIRING)

Machine Learning Astronomy information

See Atlanta, GA salary details

$24.5K

$41K

$84.6K

How much do machine learning astronomy jobs pay per year?

As of Jul 26, 2026, the average yearly pay for machine learning astronomy in Atlanta, GA is $40,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $44,200.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Astronomy vs Data Scientist?

AspectMachine Learning AstronomyData Scientist
Required CredentialsDegree in Astronomy, Physics, or related fields; knowledge of machine learningDegree in Computer Science, Statistics, or related fields; strong programming skills
Work EnvironmentResearch institutions, observatories, academiaCorporate, tech companies, consulting firms
Industry UsageAnalyzing astronomical data, developing models for celestial phenomenaBusiness analytics, predictive modeling, data visualization

Machine Learning Astronomy focuses on applying machine learning techniques to astronomical data within research settings, while Data Scientists work across various industries analyzing data to inform business decisions. Both roles require strong analytical skills and programming knowledge but differ in domain focus and work environment.

What are 5 potential jobs for astronomy?

Potential jobs for astronomy graduates include research scientist at observatories or universities, data analyst for space agencies, astrophysics researcher, science communicator or educator, and software developer for astronomical data analysis. These roles often require strong analytical skills, programming knowledge, and familiarity with telescopes or data processing tools.

How much do machine learning engineers make at NASA?

Machine learning engineers at NASA typically earn between $90,000 and $150,000 annually, depending on experience, education, and security clearance levels. Salaries may also vary based on location and specific project responsibilities, with some roles requiring expertise in data analysis, programming, and scientific computing tools.

What is machine learning astronomy?

Machine learning astronomy is the application of machine learning techniques to analyze and interpret astronomical data. This field combines computer science, statistics, and astronomy to automate tasks such as classifying celestial objects, detecting anomalies, and predicting astronomical events. With the increasing volume of data from telescopes and space missions, machine learning helps astronomers process and extract meaningful insights more efficiently. Researchers in this area develop algorithms that can learn patterns from vast datasets, leading to new discoveries and a deeper understanding of the universe.

What are the key skills and qualifications needed to thrive as a Machine Learning Astronomer, and why are they important?

To thrive as a Machine Learning Astronomer, you need a strong background in astrophysics, statistical analysis, and programming (often with a PhD in a related field). Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and astronomical data systems is essential. Critical thinking, problem-solving, and effective collaboration are key soft skills for innovating solutions and working within research teams. These skills enable the effective analysis of large astronomical datasets, driving new discoveries and advancements in the field.

Does NASA have machine learning engineers?

NASA employs machine learning engineers to develop algorithms for data analysis, spacecraft navigation, and scientific research. These roles often require expertise in programming, data science, and tools like Python and TensorFlow, with positions available through federal job portals and NASA's career website.

What are some common challenges faced by professionals working in machine learning astronomy?

Machine learning astronomers often encounter challenges such as handling extremely large and complex datasets, ensuring data quality, and effectively preprocessing astronomical data to reduce noise and artifacts. Additionally, interpreting model results in a scientific context can be demanding, as it requires both technical expertise and domain knowledge. Collaboration with astronomers, data engineers, and software developers is essential to ensure that machine learning models are both accurate and scientifically meaningful.

Can AI replace astronomers?

Machine Learning Astronomers use AI to analyze large datasets, identify patterns, and make predictions about celestial phenomena. While AI can automate data processing and assist in research, it does not replace the need for human expertise in designing experiments, interpreting results, and making scientific judgments. The role of astronomers remains essential for guiding AI applications and advancing understanding of the universe.
What are popular job titles related to Machine Learning Astronomy jobs in Atlanta, GA? For Machine Learning Astronomy jobs in Atlanta, GA, the most frequently searched job titles are:
Infographic showing various Machine Learning Astronomy job openings in Atlanta, GA as of June 2026, with employment types broken down into 2% As Needed, 37% Full Time, 56% Part Time, 2% Temporary, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $40,951 per year, or $19.7 per hour.
Postdoctoral Fellow in Neutrino Astrophysics Position in the School of Physics - Otte Research Group

Postdoctoral Fellow in Neutrino Astrophysics Position in the School of Physics - Otte Research Group

Georgia Tech

Atlanta, GA • On-site

$47K - $64K/yr

Other

Posted 20 days ago


Georgia Tech rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

306th of 611 rated colleges and universities


Job description

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Job ID
295470
Location
Atlanta, Georgia
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About Us

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.

2. We strive for excellence.

3. We thrive on diversity.

4. We celebrate collaboration.

5. We champion innovation.

6. We safeguard freedom of inquiry and expression.

7. We nurture the wellbeing of our community.

8. We act ethically.

9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

About the School of Physics at the Georgia Institute of Technology

The School of Physics at Georgia Tech currently has 56 academic faculty, and its graduate program is ranked 21st in the nation by US News and World Report. The School has a broad research program with strengths in astrophysics, condensed matter, atomic, molecular, theoretical physics, and optical physics, physics of living systems, nonlinear science and soft matter physics. The School is also a key player in interdisciplinary initiatives established within Georgia Tech, such as quantum systems, neuroscience, microbial dynamics, planetary sciences, and data science/machine learning. Its student body comprises more than 156 graduate students (Ph.D and Masters) and over 240 undergraduate majors.

Location

Atlanta, GA

Job Summary

The Otte group (otte.gatech.edu) at the School of Physics and the Center for Relativistic Astrophysics (CRA) at the Georgia Institute of Technology invites applications for a postdoctoral position to work on the Trinity Neutrino Observatory, a next-generation experiment designed to detect ultra-high-energy neutrinos using air-shower imaging telescopes.

Trinity targets earth-skimming tau neutrinos above ~1 PeV through imaging of upward-going air showers near the horizon. The first phase of the project, the Trinity Demonstrator, is ongoing and has been in its physics data-taking phase for over a year, providing a timely opportunity to lead analyses while helping define the next stage of the experiment.

This is a full-time position, 40 hours weekly.

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values. These values include academic excellence, freedom of expression and inquiry, innovation, collaboration, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

Responsibilities

We seek a highly motivated candidate to play a central role in advancing Trinity's analysis and simulation program. The successful candidate will:

Lead the Monte Carlo simulation framework and analysis software development.

Lead analyses of Demonstrator data and drive publication efforts.

Help define the science reach, sensitivity projections, and performance requirements of Trinity One.

In addition, the candidate is expected to develop a strong and visible research program that connects Trinity's neutrino observations with the broader multi-messenger landscape, including gamma-ray, gravitational-wave, and cosmic-ray observatories.

Required Qualifications

Applicants must have:

  • A Ph.D. in Astroparticle Physics, High-Energy Physics, Astrophysics, or a closely related field.

Preferred Qualifications
  • Substantial experience in simulation and data analysis.

  • Demonstrated ability to work independently within a collaborative research environment.

  • Experience with air-shower simulations, neutrino physics, statistical inference, detector modeling, or large-scale computing frameworks is highly desirable.

Student Success Criteria

* The ability to promote a welcoming educational/work environment

* The ability to engage students in experiential learning activities and pedagogy that support student success

Required Documents to Attach

Applicants should submit:

  • Cover letter

  • Statement of research interests (maximum two pages)

  • Curriculum vitae including publication list

  • Names and contact information for three references

Application materials should be submitted as a PDF files only via Georgia Techs Careers portal, Job ID 295470

Contact Information

Applications and inquiries should be sent to:
otte@gatech.edu
Subject line: PDocSearch

USG Core Values

The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653.

Equal Employment Opportunity

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

Other Information

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Other Information

The initial appointment is for one year, with the possibility of extension for up to five years, contingent upon positive performance review and availability of funding.

We will start of reviewing applications: April 15th, 2026.

Projected start date: August 1, 2026.

Background Check

The candidate of choice will be required to pass a pre-employment background screening. http://policylibrary.gatech.edu/employment/pre-employment-screening


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About Georgia Tech

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Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with great economic and cultural strengths. The Institute is a member of the University System of Georgia, the Georgia Research Alliance, and the Association of American Universities. Georgia Tech prides itself on its technology resources, collaborations, high-quality student body, and its commitment to diversity, equity, and inclusion.

Industry

Education

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1888

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