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Machine Learning Astronomy Jobs in Utah (NOW HIRING)

Veteran Jobs - 2023 Mar 01 - Veterans Resources

ANATOMY & PHYSIOLOGY ANTHROPOLOGY ARTS ASTRONOMY AUTOMOTIVE BIOETHICS BIOLOGICAL SCIENCES BUSINESS ... MACHINE LEARNING/NLP/AI MANAGEMENT MARKETING MATHEMATICS MEDICAL ADMINISTRATION< MUSIC NURSING ...

Veteran Jobs - 2023 Mar 01 - Veterans Resources

ANATOMY & PHYSIOLOGY ANTHROPOLOGY ARTS ASTRONOMY AUTOMOTIVE BIOETHICS BIOLOGICAL SCIENCES BUSINESS ... MACHINE LEARNING/NLP/AI MANAGEMENT MARKETING MATHEMATICS MEDICAL ADMINISTRATION< MUSIC NURSING ...

Veteran Jobs - 2023 Mar 01 - Veterans Resources

ANATOMY & PHYSIOLOGY ANTHROPOLOGY ARTS ASTRONOMY AUTOMOTIVE BIOETHICS BIOLOGICAL SCIENCES BUSINESS ... MACHINE LEARNING/NLP/AI MANAGEMENT MARKETING MATHEMATICS MEDICAL ADMINISTRATION< MUSIC NURSING ...

Veteran Jobs - 2023 Mar 01 - Veterans Resources

ANATOMY & PHYSIOLOGY ANTHROPOLOGY ARTS ASTRONOMY AUTOMOTIVE BIOETHICS BIOLOGICAL SCIENCES BUSINESS ... MACHINE LEARNING/NLP/AI MANAGEMENT MARKETING MATHEMATICS MEDICAL ADMINISTRATION< MUSIC NURSING ...

Veteran Jobs - 2023 Mar 01 - Veterans Resources

ANATOMY & PHYSIOLOGY ANTHROPOLOGY ARTS ASTRONOMY AUTOMOTIVE BIOETHICS BIOLOGICAL SCIENCES BUSINESS ... MACHINE LEARNING/NLP/AI MANAGEMENT MARKETING MATHEMATICS MEDICAL ADMINISTRATION< MUSIC NURSING ...

Veteran Jobs - 2023 Mar 01 - Veterans Resources

ANATOMY & PHYSIOLOGY ANTHROPOLOGY ARTS ASTRONOMY AUTOMOTIVE BIOETHICS BIOLOGICAL SCIENCES BUSINESS ... MACHINE LEARNING/NLP/AI MANAGEMENT MARKETING MATHEMATICS MEDICAL ADMINISTRATION< MUSIC NURSING ...

All JobsMachine Learning Astronomy JobsMachine Learning Astronomy Jobs in Utah

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 Utah? For Machine Learning Astronomy jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Machine Learning Astronomy jobs in Utah look for? The top searched job categories for Machine Learning Astronomy jobs in Utah are:
What cities in Utah are hiring for Machine Learning Astronomy jobs? Cities in Utah with the most Machine Learning Astronomy job openings:
Machine Learning Astronomy jobs near you
Infographic showing various Machine Learning Astronomy job openings in Utah as of July 2026, with employment types broken down into 2% Locum Tenens, 65% As Needed, 20% Full Time, 10% Part Time, 1% Contract, and 2% Summer. Highlights an 64% Physical, 1% Hybrid, and 35% Remote job distribution.
Higher Education - Subject Matter Expert - Remote Worldwide

Higher Education - Subject Matter Expert - Remote Worldwide

Veteran Jobs - 2023 Mar 01 - Veterans Resources

Remote

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Posted 4 days ago

Job description

ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps.
***This job post is for candidates with a minimum of a bachelors degree in the discipline noted in the job title. Preferred qualifications include a terminal degree in the field, along with relevant teaching/content development/SME level experience.***
Our partners have an ongoing need for Subject Matter Experts. Apply today to be considered as projects become available.


At OWL Learning (part of MPS Limited), we are looking for educational curriculum and content developers, instructional designers, media developers, editorial professionals, subject matter experts and instructional technologists who can help us create exceptional learning experiences for our clients.
 ONGOING PROJECTS
Including but not limited to:
ANATOMY & PHYSIOLOGY
ANTHROPOLOGY
ARTS
ASTRONOMY
AUTOMOTIVE
BIOETHICS
BIOLOGICAL SCIENCES
BUSINESS LAW
BUSINESS: GENERAL
CAREER AND TECHNICAL EDUCATION
CHEMISTRY
COMMUNICATIONS
COMPUTER SCIENCE
COUNSELING
CRIMINAL JUSTICE
CULTURAL STUDIES
CYBERSECURITY
DEVELOPMENTAL ENGLISH
EARTH SCIENCES
ECONOMICS
EDUCATION
ENGINEERING
ENGLISH
ENGLISH AS A SECOND LANGUAGE
ENGLISH FOR LANGUAGE LEARNERS
ENVIRONMENTAL SCIENCES
ETHICS
FILM
FINANCE
FIRE SAFETY/ FIRE-FIGHTING/EMS
FRENCH
GENDER STUDIES
GEOGRAPHY
GEOLOGY
GERMAN
HEALTH SCIENCES
HISTORY
HUMAN DEV/FAMILY STUDIES
HUMAN RESOURCE MANAGEMENT
INFORMATION SCIENCE
INFORMATION SECURITY
LABOR AND HUMAN RELATIONS
LIFE SCIENCES
MACHINE LEARNING/NLP/AI
MANAGEMENT
MARKETING
MATHEMATICS
MEDICAL ADMINISTRATION<
MUSIC
NURSING
NUTRITION
PARALEGAL
PHARMACY/PHARMACOLOGY
PHILOSOPHY
PHYSICAL SCIENCE
PHYSICS
POLITICAL SCIENCE
PSYCHOLOGY
PUBLIC HEALTH
RADIOLOGIC SCIENCES
RELIGIOUS STUDIES
RESEARCH METHODS
SOCIAL SCIENCES
SOCIAL WORK
SOCIOLOGY
SPANISH
TAXATION
TRANSLATION
WORLD LANGUAGES
PROJECT DESCRIPTION
As a Subject Matter Expert, you will be working to develop and/or review educational content, and/or deliver materials based on the project scope. Roles are 1099.
APPLICANT QUALIFICATIONS
Bachelor's degree in the discipline
PREFERRED QUALIFICATIONS
Masters degree in the discipline
Relevant industry certifications
Instructional design/teaching experience and/or familiarity with Bloom's taxonomy
PROJECT DURATION
Ongoing Needs
REQUIRED AVAILABILITY/PAY INFORMATION
This will vary by project.
LOCATION
Remote/Ability to work from home from anywhere in the world. Must have reliable internet access as the projects will be managed and coordinated via email and teleconference as needed.
#LI-Remote
 

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