<div><span style="font-size:17pt;">Role Overview</span></div><div><strong style="font-size:11pt;">Title</strong><span style="font-size:11pt;">: Senior Machine Learning Engineer</span></div><div><strong style="font-size:11pt;">Hours</strong><span style="font-size:11pt;">: Full-Time, Salaried</span></div><div><strong style="font-size:11pt;">Location</strong><span style="font-size:11pt;">: Salt Lake City, UT, On-Site</span></div><div><strong style="font-size:11pt;">Benefits Eligible</strong><span style="font-size:11pt;">: Yes</span></div><div><strong style="font-size:11pt;">Manager</strong><span style="font-size:11pt;">: Prospect Generation Manager</span></div><div> </div><div><span style="font-size:17pt;">Mission – Why we exist and why we need you</span></div><div><span style="font-size:11pt;">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.</span></div><div> </div><div><span style="font-size:11pt;">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.</span></div><div> </div><br><br><h3>Competencies – What we’re looking for</h3><ul><li>6+ years professional experience in machine learning engineering, preferably in a business environment</li><div><strong>Proven technical skills</strong>:</div><li>Deep expertise in modern deep learning and statistical methods</li><li>Proven experience developing, deploying, and maintaining production-grade machine learning models</li><li>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.)</li><li>Ability to work closely and collaboratively with engineers, domain experts, and non-technical stakeholders</li><li>Strong plus: computer vision expertise; experience with geospatial, remote sensing, or geophysical data</li></ul><h3>Location and Benefits</h3><ul><li>The position is based out of our headquarters in Salt Lake City, Utah, and is a hybrid position</li><div><strong>Benefits include:</strong></div><li>Paid holidays</li><li>15 days PTO + PTO accrual increase based on tenure</li><li>Medical, dental, and vision coverage</li><li>401k</li><li>Stock options</li><li>Growth opportunities at a company with a direct impact in displacing carbon emissions</li></ul><br><div><span style="font-size:17pt;">Equal Opportunity Employer</span></div><div> </div><div><span style="font-size:11pt;">Zanskar is an equal-opportunity employer and complies with all applicable federal, state, and local fair employment practice laws.</span></div><div> </div>

<p>It is our mission to make geothermal power the most affordable form of widely-deployable, 24/7, carbon-free energy generation on the planet.&nbsp;</p>

Senior Machine Learning Engineer

<div><span>Role Overview</span></div><div><strong>Title</strong><span>: Senior Machine Learning Engineer</span></div><div><strong>Hours</strong><span>: Full-Time, Salaried</span></div><div><strong>Location</strong><span>: Salt Lake City, UT, On-Site</span></div><div><strong>Benefits Eligible</strong><span>: Yes</span></div><div><strong>Manager</strong><span>: Prospect Generation Manager</span></div><div> </div><div><span>Mission – Why we exist and why we need you</span></div><div><span>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.</span></div><div> </div><div><span>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.</span></div><div> </div><br /><br /><h3>Competencies – What we’re looking for</h3><ul><li>6+ years professional experience in machine learning engineering, preferably in a business environment</li><div><strong>Proven technical skills</strong>:</div><li>Deep expertise in modern deep learning and statistical methods</li><li>Proven experience developing, deploying, and maintaining production-grade machine learning models</li><li>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.)</li><li>Ability to work closely and collaboratively with engineers, domain experts, and non-technical stakeholders</li><li>Strong plus: computer vision expertise; experience with geospatial, remote sensing, or geophysical data</li></ul><h3>Location and Benefits</h3><ul><li>The position is based out of our headquarters in Salt Lake City, Utah, and is a hybrid position</li><div><strong>Benefits include:</strong></div><li>Paid holidays</li><li>15 days PTO + PTO accrual increase based on tenure</li><li>Medical, dental, and vision coverage</li><li>401k</li><li>Stock options</li><li>Growth opportunities at a company with a direct impact in displacing carbon emissions</li></ul><br /><div><span>Equal Opportunity Employer</span></div><div> </div><div><span>Zanskar is an equal-opportunity employer and complies with all applicable federal, state, and local fair employment practice laws.</span></div><div> </div>

Senior Machine Learning Engineer

About the Job

About the Company

Zanskar

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