2027 PhD Residency, Earth Scientist AI Resident, Early Stage Project

About the company

Anori is an Alphabet X spinout building a platform to streamline pre-development permitting and approvals for buildings.

About this role

<p><strong>THE FOUNDATION OF AN AMAZING JOURNEY</strong></p> <p>Our goal at X is to make the world a radically better place. In order to do that we seek fresh unexpected perspectives, from different fields, and that’s why we’re excited about you.&nbsp;</p> <p>Life here isn’t easy, but it’s fun. We’re trying to build things most people can’t even imagine, and we’re doing it with the hope of making a huge, positive impact on the world. You’ll be embedded into a moonshot project, where you’ll partner with team members to solve key challenges.&nbsp;</p> <p>This isn’t your ordinary internship. You’ll be positively challenged and pushed professionally, in ways that you may have never experienced. If this excites you - keep reading.</p> <p><strong>DURING YOUR INTERNSHIP YOU CAN EXPECT:</strong></p> <ul> <li>To be placed on one of our confidential or public X projects</li> <li>To get paid competitively and with Google benefits</li> <li>To be part of a lively community of other Interns and Residents&nbsp;</li> <li>To attend colloquium and discussions with team leads from across Google, DeepMind and external organizations</li> </ul> <p><strong>How you will make 10x impact:</strong><span style="font-weight: 400;">&nbsp;</span></p> <ul> <li>Collaborating with confidential X Project team to apply advanced ML and geophysics computing techniques to their project's mission</li> <ul> <li>Understanding the project’s challenges;</li> <li>Suggesting a number of ways in which ML and other techniques can apply to those challenges;</li> <li>Prototyping solutions;</li> <li>Work closely with team members to implement solutions.</li> </ul> <li>Learning Moonshot thinking, attending colloquium and tech talks.</li> <li>Engaging with the X Internship community during the program.</li> <li>Having fun!</li> </ul> <p><span style="font-weight: 400;">This project aims to push the limits of science and modeling as we know them and to prove how ML can radically accelerate our understanding of the world</span></p> <ul> <li style="font-weight: 400;">Location: X's headquarters in Mountain View, CA</li> <li style="font-weight: 400;">Start Date(s): Year-round rolling basis</li> <li style="font-weight: 400;"><span style="font-weight: 400;">Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability</span></li> </ul> <p><span style="font-weight: 400;">Throughout your AI Residency you can expect:</span></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">To be embedded into one of our confidential or public X projects</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">To get paid competitively and receive benefits</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">To be a part of a lively community of AI and ML Residents</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">To attend tech-talks with AI leaders from across X</span></li> </ul> <p><strong>What you should have:</strong><strong>&nbsp;</strong></p> <ul> <li>Must be enrolled in a PhD program focused in Geology, Geophysics, Seismology, Machine Learning, Physics, Mathematics or Statistics.&nbsp;</li> <li>Must be currently doing research at the interface of geology/geophysics/seismology and machine learning</li> <li>Completed coursework in geophysics, linear algebra, signal processing, machine learning, or their equivalent.</li> <li>Strong programming skills in Python. Proficient in Numpy, Scipy, Matplotlib, scikit-learn. Proficient with ML frameworks such as Tensorflow, Keras, JAX.</li> <li>Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis.</li> </ul> <p><strong>It’d be great if you also had these:</strong><strong>&nbsp;</strong></p> <ul> <li>Research experience in one or more following areas: full waveform inversion, elastic wave propagation, distributed acoustic sensing, microseismic.</li> <li>Projects that demonstrate relevant skills.</li> <li>Publications in relevant conferences and journals.</li> </ul> <p><strong>Additional public information</strong><span style="font-weight: 400;">:</span></p> <p><a href="https://www.wired.com/video/watch/astro-teller-captain-of-moonshots-at-x-speaks-at-wired25"><span style="font-weight: 400;">https://www.wired.com/video/watch/astro-teller-captain-of-moonshots-at-x-speaks-at-wired25</span></a></p> <p><span style="font-weight: 400;"><a href="https://www.bloomberg.com/news/videos/2019-10-10/alphabet-x-s-astro-teller-on-bloomberg-studio-1-0-video">https://www.bloomberg.com/news/videos/2019-10-10/alphabet-x-s-astro-teller-on-bloomberg-studio-1-0-video</a></span></p> <p>The US base salary range for this position is $109,000 - $157,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.</p> <p>Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.</p> <p><span style="font-weight: 400;">&nbsp;</span></p>