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Online Remote Learning Development Jobs in Utah (NOW HIRING)

Zanskar

Senior Machine Learning Scientist

Salt Lake City, UT · On-site +1

$88K - $121K/yr

Senior Machine Learning Scientist (Surrogate modeling & decision science in the earth sciences ... 2 days can be remote) Benefits Eligible: Yes Manager: Head of Reservoir R&D Why we exist ...

Zanskar

Senior Machine Learning Scientist

Salt Lake City, UT · On-site +1

$88K - $121K/yr

Senior Machine Learning Scientist (Surrogate modeling & decision science in the earth sciences ... 2 days can be remote) Benefits Eligible: Yes Manager: Head of Reservoir R&D Why we exist ...

BILL

Senior Machine Learning Engineer

Draper, UT · On-site

$145K - $174K/yr

Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, BILLders ... Contribute to the development and improvement of AI workflows, agentic evaluation and best ...

Veteran Jobs - 2023 Mar 01 - Veterans Resources

At OWL Learning (part of MPS Limited), we are looking for educational curriculum and content ... DEVELOPMENTAL ENGLISH EARTH SCIENCES ECONOMICS EDUCATION ENGINEERING ENGLISH ENGLISH AS A SECOND ...

Clozd

Partner Development Director

Lehi, UT · On-site +1

... learning, crave a fast-paced startup environment, and never compromise their integrity. We are ... This role can be based out of our Lehi, UT office or can be remote * Competitive compensation (i.e ...

Clozd

Partner Development Director

Lehi, UT · On-site +1

... learning, crave a fast-paced startup environment, and never compromise their integrity. We are ... This role can be based out of our Lehi, UT office or can be remote * Competitive compensation (i.e ...

Veteran Jobs - 2023 Mar 01 - Veterans Resources

At OWL Learning (part of MPS Limited), we are looking for educational curriculum and content ... DEVELOPMENTAL ENGLISH EARTH SCIENCES ECONOMICS EDUCATION ENGINEERING ENGLISH ENGLISH AS A SECOND ...

Veteran Jobs - 2023 Mar 01 - Veterans Resources

At OWL Learning (part of MPS Limited), we are looking for educational curriculum and content ... DEVELOPMENTAL ENGLISH EARTH SCIENCES ECONOMICS EDUCATION ENGINEERING ENGLISH ENGLISH AS A SECOND ...

APR

Commercial Lines Account Manager | Remote

UT · Remote

$70K - $85K/yr

Collaborate with various carrier underwriters and effectively utilize online rating portals ... professional development. Compensation decisions are made based on your experience, skills ...

Veteran Jobs - 2023 Mar 01 - Veterans Resources

At OWL Learning (part of MPS Limited), we are looking for educational curriculum and content ... DEVELOPMENTAL ENGLISH EARTH SCIENCES ECONOMICS EDUCATION ENGINEERING ENGLISH ENGLISH AS A SECOND ...

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All JobsOnline Remote Learning Development JobsOnline Remote Learning Development Jobs in Utah

Online Remote Learning Development information

What is the difference between Online Remote Learning Development vs E-Learning Content Designer?

AspectOnline Remote Learning DevelopmentE-Learning Content Designer
CredentialsTypically requires education in instructional design, education technology, or related fieldsRequires skills in instructional design, multimedia tools, and content creation
Work EnvironmentPrimarily remote, collaborating with educators, developers, and stakeholdersMostly remote, focusing on designing engaging e-learning modules and materials
Industry UsageUsed across education, corporate training, and online program providersCommonly employed in e-learning companies, educational institutions, and corporate training

Online Remote Learning Development involves creating comprehensive learning programs and curricula, often including course design, assessment, and instructional strategies. E-Learning Content Designer focuses specifically on designing engaging digital content and multimedia for online courses. While both roles require instructional design skills and work remotely, Online Remote Learning Development has a broader scope, including program development, whereas E-Learning Content Designer specializes in content creation.

What are the most commonly searched types of Remote Learning Development jobs in Utah? The most popular types of Remote Learning Development jobs in Utah are:
What are popular job titles related to Online Remote Learning Development jobs in Utah? For Online Remote Learning Development jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Online Remote Learning Development jobs in Utah look for? The top searched job categories for Online Remote Learning Development jobs in Utah are:
What cities in Utah are hiring for Online Remote Learning Development jobs? Cities in Utah with the most Online Remote Learning Development job openings:
Online Remote Learning Development 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.