Senior Machine Learning Scientist
Indexed description
Zanskar - Salt Lake City, UT
- On-site, Remote
- Full-time
- Estimated pay: $88.50K - $121K/yr
- Posted 11 hours ago
- 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
Discover more
Text & Instant Messaging
machine learning
Programming
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: you’re open-minded about methods
- Reproduce & adapt: you can implement ideas from papers and new frameworks quickly
- Decision-minded: you care about end-to-end outcomes
- Uncertainty-first: you build models that are accurate, well-calibrated
- Collaborative: you work well with domain experts
- 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.
- 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.
- 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).
- 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
About Zanskar
- Industry: Clean energy power generation
- Company size: 11 - 50 Employees
- Headquarters location: Magna, UT, US
- Year founded: 2019
Create a free Caio profile to unlock the full index and keep your job-search signal for future recommendations.
Unlock free search