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Machine Learning Astronomy Jobs in Washington (NOW HIRING)

Gormat

Data Scientist 2

Annapolis Junction, MD · On-site

$99K - $114K/yr

* We are seeking a Data Scientist with a background in AI, Machine Learning (ML), and Natural ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Gormat

Data Scientist 2

Annapolis Junction, MD

* We are seeking a Data Scientist with a background in AI, Machine Learning (ML), and Natural ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Gormat

Data Scientist 2

Annapolis Junction, MD · On-site

$99K - $114K/yr

* We are seeking a Data Scientist with a background in AI, Machine Learning (ML), and Natural ... astronomy), or other science disciplines with a substantial computational component (i.e ...

GRVTY

Data Scientist 2

Annapolis Junction, MD · On-site

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 ...

Gormat

Data Scientist 2

Annapolis Junction, MD · On-site

Gormat is seeking a Level 2 Data Scientist with expertise in AI, Machine Learning, and Natural ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Gormat

Data Scientist 2

Annapolis Junction, MD · On-site

... using machine learning, analytical prototyping, scripting, automation, data visualization ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Gormat

Data Scientist 2

Annapolis Junction, MD · On-site

$99K - $114K/yr

You will also provide advanced discovery support using machine learning, analytical prototyping ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Gormat

Data Scientist 2

Annapolis Junction, MD · On-site

$99K - $114K/yr

You will also provide advanced discovery support using machine learning, analytical prototyping ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Gormat

Data Scientist 2

Annapolis Junction, MD

You will also provide advanced discovery support using machine learning, analytical prototyping ... astronomy), or other science disciplines with a substantial computational component (i.e ...

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All JobsMachine Learning Astronomy JobsMachine Learning Astronomy Jobs in Washington

Machine Learning Astronomy information

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 Washington? For Machine Learning Astronomy jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Machine Learning Astronomy jobs in Washington look for? The top searched job categories for Machine Learning Astronomy jobs in Washington are:
What cities in Washington are hiring for Machine Learning Astronomy jobs? Cities in Washington with the most Machine Learning Astronomy job openings:
Machine Learning Astronomy jobs near you
Research Associate, Atmospheric Science, Machine Learning

Research Associate, Atmospheric Science, Machine Learning

DeVine Consulting, Inc.

Silver Spring, MD • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

DeVine provides technical and scientific support to government clients in Oceanography & Atmospheric Science among other technical disciplines.
Our company is looking for a Research Associate, with experience in Atmospheric Science and Machine Learning (ML), to join DeVine in a full time capacity. This position will be supporting a government customer, hence only US Citizens may be considered for hire. Candidates who meet/exceed every requirement may be considered for remote work.
DeVine contributes to projects in data modeling, remote sensing & machine learning. We collaborate with our clients in scientific analysis of the Earth's atmosphere & ocean and land surfaces, as well as astronomy and astrometry. We help our clients test and operate space-based, air-based, subsurface, and land and ocean surface-based sensors.
The successful hire will contribute to improvements in weather forecast performance to deliver more accurate weather insights to our customers.
If your experience is relevant to the requirements below, and you'd enjoy working in Silver Spring, MD, then please apply!
Duties:
  • Conduct innovative research at the intersection of weather prediction and machine learning, including approaches that leverage observations from satellite constellation
  • Develop, verify, and document forecast improvements that provide measurable value to customers
  • Partner with engineering and product teams to transition research advances into scalable, operational systems
  • Communicate results through internal reviews, customer discussions, and, where appropriate, conferences or publications
  • Contribute broadly to improving forecasts and overall product performance

Required experience and credentials:
  • Graduate degree in atmospheric science, meteorology, computer science, or a related field
  • 2+ years of experience developing ML models for weather applications
  • Strong ML engineering fundamentals, including model training, validation, evaluation, and documentation
  • Training, running, and verifying AI-based weather prediction models
  • Working in cloud-based computing environments
  • Handling large meteorological datasets and common data formats at scale
  • Modern deep learning frameworks (e.g., PyTorch or TensorFlow)
  • Large geophysical dataset formats (GRIB, NetCDF, ZARR)
  • Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Familiarity with cloud-based computing environments (AWS, GCP, Azure)
  • Strong written and verbal communication skills
  • Ability to manage multiple projects and balance competing priorities
About the position:
  • Position Type: Full-time, Must be U.S. Citizen
  • Location: Silver Spring, MD
  • Benefits: Medical, Dental, Vision, 401K, Life Insurance, Paid Holidays, Paid Sick Leave and Paid Vacation
  • Compensation: $90K to $110K per year salary range DOE and skills

Equal Opportunity Employer
We are committed to a policy of assuring that all applicants for employment are recruited, hired and assigned on the basis of qualifications and merit without discrimination based on any protected classification, including, but not limited to, race, color, religion, sex, sexual orientation, national origin, veteran status, age, disability, handicap, marital status, or any other characteristic protected by applicable laws.

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