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Machine Learning Astronomy Jobs in Washington, DC

GRVTY

Data Scientist 2

Annapolis, MD · On-site

$115K - $145K/yr

This role combines artificial intelligence and machine learning skills with a strong foundation in ... astronomy), or other science disciplines with a substantial computational component (i.e ...

GRVTY

Data Scientist 2

Annapolis Junction, MD

$115K - $145K/yr

This role combines artificial intelligence and machine learning skills with a strong foundation in ... astronomy), or other science disciplines with a substantial computational component (i.e ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$157K - $215K/yr

Job Brief Data Science, Machine Learning Are you VIGILANT about your career? RealmOne definitely is ... astronomy), or other science disciplines with a substantial computational component (i.e ...

iNovex Information Systems

Data Scientist 4

Annapolis, MD · On-site

$212K - $267K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

GRVTY

Data Scientist 3

Annapolis Junction, MD · On-site

... Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related ... astronomy), or other science disciplines with a substantial computational component (i.e ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

iNovex Information Systems

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Sentar, Inc.

Data Scientist 3

Fort George G Meade, MD · On-site

Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning ... astronomy), or other science disciplines with a substantial computational component (i.e ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

iNovex Information Systems

Data Scientist

Annapolis, MD · On-site

$119K - $285K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

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Showing results 21-40

All JobsMachine Learning Astronomy JobsMachine Learning Astronomy Jobs in Washington, DC

Machine Learning Astronomy information

See Washington, DC salary details

$28.9K

$48.2K

$99.7K

How much do machine learning astronomy jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning astronomy in Washington, DC is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 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 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.

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.
What are popular job titles related to Machine Learning Astronomy jobs in Washington, DC? For Machine Learning Astronomy jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Astronomy jobs in Washington, DC look for? The top searched job categories for Machine Learning Astronomy jobs in Washington, DC are:
Machine Learning Astronomy jobs near you
Infographic showing various Machine Learning Astronomy job openings in Washington, DC 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 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.

Quantum Space General Interest Application

Quantum Space

Rockville, MD • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 13 days ago

Job description

Are you ready to advance the State of Humanity in the pursuit of Human Knowledge? Quantum Space is leading the next commercialspace frontier with the development of our lunar constellation to provide data buy services, host payloads/instruments, deploy spacecraft, and perform space logistics for our partners. 

Don't find a specific position you're looking for in our openings? Use this application!

We are looking for highly motivated individuals at all experience levels with an interest in exploring the possibilities in technological advancement that will enable our exploration of cis-lunar space. As a Quantum Space employee, you will have an opportunity to work on exciting projects and gain exposure to the full life cycle of mission development, launch, and operations. You will work with a fast-paced and tight-knit team of engineers and scientists to truly change the future of space technology. 

Qualifications 

  • A degree at the Bachelor's level or higher from an ABET accredited university in the following categories:
    • Aerospace, Mechanical, Electrical, Computer Engineering, Materials Science
    • Computer Science
    • Physics
    • Mathematics
    • Astronomy/Astrophysics
  • Past work inclusive of, but not limited to, the following fields:
    • Artificial intelligence & machine learning, image processing, data science, mission and spacecraft systems, flight hardware, flight software, PNT, space domain awareness, flight operations 
  • Experience working in aerospace industry desirable but not required 
  • Work location within the DMV area 

Team Descriptions 

  • Systems Engineering  
  • Mission Design and Guidance Navigation & Control   
  • Hardware Engineering 
  • Software Engineering 
  • Integration & Test Engineering 
  • Data Analysis 

At Quantum Space, we believe that diversity in all its forms enriches us and helps us deliver on our unique mission. We respect the need for work-life balance and offer flexible working arrangements to suit individual needs. Come join us and help shape the future of space technology!

We offer competitive compensation, benefits and a flexible work environment including:

  • Comprehensive medical, dental and vision plan options
  • Generous employee leave + parental leave
  • FSA (Flexible Spending Account)
  • 401(k) matching program
  • Equity sharing

Quantum Space is an Equal Employment Opportunity Employer as defined by the EEOC. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, national origin or ancestry, gender, age, sexual orientation, gender orientation, physical or mental disability, veteran status, genetic information, citizenship, or any other federal, state, or locally protected class. 

Apply