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Location: Salt Lake City, UT (Hybrid: 3 days in office, 2 days remote) • Benefits Eligible: Yes • Manager: Head of Reservoir R&D
Job Description Senior Machine Learning Scientist
Zanskar – Salt Lake City, UT
On‑site, Remote • Full‑time • Estimated pay: $88.50K - $121K/yr • Posted 11 hours ago
Role Overview 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 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.
We combine deep subsurface expertise with advanced AI technologies to dramatically improve geothermal discovery and development outcomes.
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: open‑minded about methods
Reproduce & adapt: implement ideas from papers and new frameworks quickly
Decision‑minded: care about end‑to‑end outcomes
Uncertainty‑first: build models that are accurate and well‑calibrated
Collaborative: work well with domain experts
What You’ll Do
Build fast, reliable models that emulate or augment computationally expensive physics‑based simulations.
Evaluate and compare multiple modeling approaches.
Build multi‑step decision systems for exploration and appraisal.
Translate scientific and engineering questions into well‑defined learning and decision problems.
Prototype, benchmark, and iterate across approaches.
Collaborate deeply with geoscientists, reservoir engineers, and software engineers.
What We’re Looking For
3+ years of applied ML experience.
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.
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
Based out of our headquarters in
Salt Lake City, Utah , and is
hybrid .
Paid holidays
15 days PTO + PTO accrual increase based on tenure
Medical, dental and vision coverage
401k
Stock options
Growth opportunities
Zanskar is an equal‑opportunity employer.
About Zanskar
Industry: Clean energy power generation
Company size: 11 – 50 Employees
Headquarters location: Magna, UT, US
Year founded: 2019
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Sprachkenntnisse
- English
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