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Remote Space Science Jobs in Utah (NOW HIRING)

HireVue Inc

Product Manager | Fully Remote US

Sandy, UT · On-site +1

The industry leader in science backed, modern hiring solutions powered by ethical AI, Hirevue has ... space. Technical Expertise * Integration Methodologies: Strong understanding of REST APIs, SOAP ...

ITW

National Sales Manager

Orem, UT · Remote

These talented individuals, many of whom have specialized engineering or scientific expertise ... The role is a remote position; location base will be reviewed as this position covers all regions ...

Canopy

Senior Full Stack Engineer

South Jordan, UT · Remote

This position is remote eligible for candidates who currently reside in Utah. Click here to see why ... We are looking to revolutionize the accounting space with modern, user-friendly software for a ...

Canopy

Senior Full Stack Engineer

South Jordan, UT · Remote

This position is remote eligible for candidates who currently reside in Utah. Click here to see why ... We are looking to revolutionize the accounting space with modern, user-friendly software for a ...

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Remote Space Science information

What is the difference between Remote Space Science vs Remote Astrophysics?

AspectRemote Space ScienceRemote Astrophysics
Required CredentialsBachelor's or higher in space science, physics, or related fields; often requires research experienceBachelor's or higher in physics, astronomy, or astrophysics; strong analytical skills needed
Work EnvironmentResearch institutions, space agencies, universities; primarily remote with occasional fieldworkAcademic and research settings, observatories, space agencies; mostly remote with data analysis focus
Employer & Industry UsageNASA, ESA, private space companies, universitiesNASA, academic institutions, research labs, observatories

Remote Space Science and Remote Astrophysics share similar educational backgrounds and work environments, often involving research and data analysis for space-related projects. However, Remote Space Science tends to have a broader focus on space exploration and technology, while Remote Astrophysics concentrates more on understanding celestial phenomena. Both roles are vital in advancing our knowledge of the universe and are frequently searched for by professionals interested in space research careers.

How do remote space science professionals typically collaborate with research teams and mission control centers?

Remote space science professionals often work closely with multidisciplinary teams, including scientists, engineers, and mission operators, primarily through digital communication tools such as video conferencing, shared data platforms, and project management software. Collaboration is crucial for tasks like analyzing data from remote instruments, coordinating observation schedules, and troubleshooting technical issues. Regular virtual meetings and real-time messaging ensure that remote team members remain aligned with ongoing mission objectives and can contribute effectively from any location. This structure allows for flexible work arrangements while maintaining high levels of teamwork and information flow.

What is a remote space scientist?

A remote space scientist is a professional who studies space, celestial bodies, and related phenomena while working from a location outside of traditional research institutions or laboratories. They typically use data from satellites, telescopes, and other remote sensing equipment to conduct research, analyze findings, and collaborate with teams virtually. This role often involves tasks such as analyzing astronomical data, developing models, and publishing scientific research, all of which can be done remotely thanks to advancements in technology and data accessibility. Remote space scientists may work for universities, government agencies, or private companies. The flexibility of remote work allows them to contribute to space science from virtually anywhere in the world.

What are the key skills and qualifications needed to thrive as a Remote Space Scientist, and why are they important?

To thrive as a Remote Space Scientist, you need a strong background in physics, astronomy, or planetary science, often supported by an advanced degree such as a master's or Ph.D. and research experience. Familiarity with remote sensing software, data analysis tools (like MATLAB or Python), and satellite imaging systems is typically required. Critical thinking, problem-solving, and effective collaboration are vital soft skills for interpreting complex data and working with multidisciplinary teams remotely. These skills and qualifications are crucial for advancing scientific understanding and ensuring high-quality research in the evolving field of space science.
What are the most commonly searched types of Space Science jobs in Utah? The most popular types of Space Science jobs in Utah are:
What are popular job titles related to Remote Space Science jobs in Utah? For Remote Space Science jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Space Science jobs in Utah look for? The top searched job categories for Remote Space Science jobs in Utah are:
What cities in Utah are hiring for Remote Space Science jobs? Cities in Utah with the most Remote Space Science job openings:
Remote Space Science jobs near you

Senior Machine Learning Scientist

Zanskar

Salt Lake City, UT • On-site, Remote

$88K - $121K/yr

Full-time

Posted 5 days ago

Job description

Role Overview 
Title: Senior Machine Learning Scientist (Surrogate modeling & decision science in the earth sciences)
Hours: Full-Time, Salaried
Location: Salt Lake City, UT, Hybrid (3 days in office, 2 days can be remote)
Benefits Eligible: Yes
Manager: Head of Reservoir R&D
 
Why we exist
Geothermal energy is the most abundant renewable energy source in the world. There is 2,300 times more energy in geothermal heat in the ground than in oil, gas, coal, and methane combined. However, historically it’s been hard to find and expensive to develop. At Zanskar, we’re building technology to find and develop new geothermal resources in order to make geothermal a cheap and vital contributor to a carbon-free electrical grid.
 
To do that, we combine deep subsurface expertise with advanced AI technologies—including modern machine learning, scalable scientific computing, and uncertainty-aware modeling—to dramatically improve geothermal discovery and development outcomes. We build systems that can learn from sparse and noisy data, emulate expensive physics simulations, and help teams make faster, higher-confidence decisions about where to drill and how to develop fields.
 
Who you are
You will help build the modeling and decision-making core of Zanskar’s geothermal exploration software. This role blends scientific machine learning (surrogate modeling) with sequential decision-making under uncertainty. A successful candidate will:
Explore: you’re open-minded about methods and will prototype, benchmark, and iterate across approaches.
Reproduce & adapt: you can implement ideas from papers and new frameworks quickly, then harden the best ones into reliable workflows.
Decision-minded: you care about end-to-end outcomes (value, risk, time-to-decision), not just model accuracy.
Uncertainty-first: you build models that are accurate, well-calibrated, and dependable under distribution shift and sparse data regimes.
Collaborative: you work well with domain experts and can translate between geology/engineering intuition and ML systems.
 
What you’ll do
Build fast, reliable models that emulate or augment computationally expensive physics-based simulations (e.g., reservoir, wellbore, and coupled multi-physics workflows).
Evaluate and compare multiple modeling approaches (physics-informed, operator learning, transformers, diffusion models, etc.), establishing strong baselines and selecting methods based on evidence.
Build multi-step decision systems for exploration and appraisal: POMDP-style planning and belief-space decision making to recommend exploration steps.
Translate scientific and engineering questions into well-defined learning and decision problems: inputs/outputs, constraints, boundary/initial conditions, reward/cost structure, and success metrics (e.g., expected NPV, probability of success, downside risk).
Prototype, benchmark, and iterate across approaches (POMDP solvers, RL methods, VOI-style baselines, MPC-style replanning), then harden the best ones into reliable workflows and APIs.
Collaborate deeply with geoscientists, reservoir engineers, and software engineers to integrate these models and policies into production software.
 
What we’re looking for
3+ years of applied ML experience, ideally in scientific ML, decision-making under uncertainty, surrogate modeling, robotics/control, or related engineering/science domains.
Expertise in python and modern ML tooling (PyTorch preferred).
Track record of taking models from prototype → rigorous evaluation → adoption by technical stakeholders.
Strong fundamentals in probability/statistics and comfort with messy, real-world scientific datasets.
Experience building or using surrogate models for expensive simulators (PDE-driven systems, multi-physics, or similar).
Relevant technical strengths
Surrogate modeling. 
Sequential decision-making under uncertainty and reinforcement learning. 
Software engineering: Git, code review, reproducibility, CI basics, Docker/container workflows.
Experience with diffusion models.
Exposure to subsurface modeling domains: geothermal, oil & gas, CCS, hydrogeology, geoscience, or related.
Familiarity with cloud infrastructure and data systems (SQL, object storage, orchestration).
 
Location and Benefits
This position is based out of our headquarters in Salt Lake City, Utah, and is hybrid.
Benefits include:
Paid holidays
15 days PTO + PTO accrual increase based on tenure
Medical, dental and vision coverage
401k 
Stock options
Growth opportunities at a company with a direct impact in displacing carbon emissions
Equal Opportunity Employer 
 
Zanskar is an equal-opportunity employer and complies with all applicable federal, state, and local fair employment practice laws.