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Senior Machine Learning Engineer

Zanskar
Posted 7 months ago, valid for 23 days
Location

Salt Lake City, Salt Lake 84147, UT

Salary

Competitive

Contract type

Full Time

Paid Time Off

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Sonic Summary

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  • The Senior Machine Learning Engineer role at Zanskar requires 6+ years of professional experience in machine learning engineering, preferably in a business environment.
  • This full-time, salaried position is located in Salt Lake City, UT, and involves designing and operating production-grade geospatial machine learning models to uncover geothermal systems.
  • Candidates should possess deep expertise in modern deep learning and statistical methods, as well as experience in developing and maintaining machine learning models.
  • The role offers competitive benefits including paid holidays, 15 days of PTO, medical coverage, and stock options, contributing to a company focused on renewable energy solutions.
  • Startup experience and strong communication skills are highly valued, as collaboration with various teams is essential for success in this position.

Role Overview

Title: Senior Machine Learning Engineer

Hours: Full-Time, Salaried

Location: Salt Lake City, UT, On-Site

Benefits Eligible: Yes

Manager: Prospect Generation Manager

 

Mission – Why we exist and why we need you

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 using better 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 are revolutionizing the exploration process, setting new industry standards for discovery rates and finding new prospects at an unprecedented scale. To reduce risk and improve outcomes, we rely on novel machine learning modeling.

 

The Senior Machine Learning Engineer will design, build, and operate production-grade geospatial machine learning models within the Prospect Generation team to uncover hidden geothermal systems and drive real-world exploration decisions. A successful candidate will be a hands-on contributor, an experienced innovator, and a technical leader with an ability to grow deep learning expertise across teams. Strong communication skills are essential, as this role requires close collaboration with research, engineering, geoscience, land, and field teams. Startup experience is a strong plus.

 

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Competencies – What we’re looking for
  • 6+ years professional experience in machine learning engineering, preferably in a business environment
Proven technical skills:
  • Deep expertise in modern deep learning and statistical methods
  • Proven experience developing, deploying, and maintaining production-grade machine learning models
  • Strong software and infrastructure fluency. Our tech stack includes Python, SQL, PyTorch, GitHub, and Docker. (Familiarity with GCP, Dagster, Terraform, and QGIS is a plus.)
  • Ability to work closely and collaboratively with engineers, domain experts, and non-technical stakeholders
  • Strong plus: computer vision expertise; experience with geospatial, remote sensing, or geophysical data


Location and Benefits
  • The position is based out of our headquarters in Salt Lake City, Utah, and is a hybrid position
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


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Equal Opportunity Employer

 

Zanskar is an equal-opportunity employer and complies with all applicable federal, state, and local fair employment practice laws.

 




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