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Terra AI

Computational Scientist [Senior - Staff]

Reposted 4 Days Ago
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Hybrid
Sunnyvale, CA, USA
Senior level
Hybrid
Sunnyvale, CA, USA
Senior level
The role involves leading geophysical simulations and integrating them with AI and ML, defining technical roadmaps, and building a technical team.
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About Terra AI

We are building the state-of-the-art AI platform for the discovery and development of clean energy and mineral resources. We bring the most advanced techniques in generative AI, foundation modeling, and autonomous decision optimization to tackle the most important problems in the geosciences. These systems can help more reliably identify critical resource deposits, more rapidly measure and characterize them, and design more efficient and sustainable production plans.

We are backed by Khosla Ventures and other leading venture investors. We are now looking to grow our small team to continue to mature our technology and support deployment with our world-class mineral and clean energy partners.

About the Role

We are looking for a Computational Scientist to lead the development and integration of geophysical simulations, aquifer flow simulations, and other numerical solvers critical in collaboration with Terra’s AI/ML and software engineering teams.

Key responsibilities include:

  • Working with our founding team to define the technical roadmap for prioritizing and developing key physical simulation capabilities.
  • Integrate and augment existing simulations of various physical processes including reservoir dynamics, seismic response, and geological processes.
  • Working with AI/ML engineers to integrate simulations into various Monte Carlo sampling and validation tools.
  • Building automated model generation and simulation tools to support training data set generation for deep generative model training.
  • Collaborate with the software engineering team members to integrate simulations into the product backend.
  • Play a critical role in hiring and building up our technical team. 

We are looking for someone who

  • Is excited about our mission to improve the speed and adoption of critical technologies to drive to net zero by 2050. 
  • Can drive forward in ambiguous environments
  • Has start up experience in building deep learning systems from the ground up including gathering and labeling data, making architecture decisions, and training large models.
  • Can balance trade-offs and decisions around model complexity, amount of data, model accuracy and the business needs
  • Is curious to learn about our customers, their workflows and applications of our product.
  • Is an excellent communicator and team player

Requirements

  • B.S in computer science, geosciences, or related field.
  • 5 years in engineering or research roles
  • Experience working with multidisciplinary teams (across UI/UX design, product, AI, ML)
  • Ability to come to our coworking location in Palo Alto, CA 3 days per week.

Why should you join us?

This is an incredible opportunity to be part of the foundation of a company and product. You will get to work with a fun team to deliver an incredibly valuable end to end product. You will receive a significant equity stake in the company. Additionally we offer a suite of benefits and perks, including

  • Company-subsidized medical, dental, & vision insurance plans. 
  • Mental health support (if not covered by medical insurance plans)
  • 401k plan with company matching
  • Flexible PTO plus company holidays
  • Annual company-wide winter break (December 24 - January 1)
  • Professional development budget to attend conferences or other events
  • One time home-office set up stipend
  • Paid parental leave

Terra AI is an equal opportunity employer. At Terra AI, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. We encourage you to apply if you are excited about Terra and this role even if your past experience does not align perfectly with every qualification in the job description. 

HQ

Terra AI Palo Alto, California, USA Office

Palo Alto, California, United States, 94304

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