2025 PhD Residency - AI/Data Science for Architecture, Landscape Design and Structural Engineering

Key Skills

Aartificial intelligence, Data science techniques, Deep Learning, Machine learning techniques, NeurIPS, Python Programming, SQL

Job Description

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.

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.

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.

DURING YOUR INTERNSHIP YOU CAN EXPECT:

• To be placed on one of our confidential or public X projects
• To get paid competitively and with Google benefits
• To be part of a lively community of other Interns and Residents

DETAILS:

• Location: X's headquarters in Mountain View, CA
• Start Date(s): Year-round rolling basis
• Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability

REQUIREMENTS:

Must be enrolled in an academic program and working towards completing a PhD

What you should have:

• Currently enrolled in a PhD program focused on applying artificial intelligence/data science methods to architecture, landscape design, and/or structural engineering
• Real hands-on experience with machine learning and deep learning systems, algorithms or applications such as generative AI, computer vision, optimization, or other statistical methods.
• Fluency with Python, including object oriented programming
• Ability to dedicate 100% of your time to the project for at least 4 months (we have a rolling application process).
• Ability to work in person at our headquarters in Mountain View, California, for the duration of your internship. Relocation expenses are provided.
• Perseverance, positive attitude, a strong collaborative mindset, and a deep desire to improve the world through technology.
• You are NOT eligible for the position if you plan to graduate or leave your academic program during the residency.

It’d be great if you also had these:

• Expertise in sustainable design, environmental justice, and/or biodiversity conservation
• Open-source projects that demonstrate relevant skills and/or publications in relevant conferences and journals (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICASSP)
• Hands on experience working with geospatial data via python and/or SQL

PLEASE NOTE:

This role requires exposure to technologies subject to heightened controls under US export laws. Due to our immediate need to fill this role and the lengthy process required to obtain export licenses, we will not be able to move forward with anyone requiring a license for such technologies. This applies to individuals ineligible for license exception "TSR" (commonly described as "controlled-country nationals") under the US Commerce Department's Export Administration Regulations. As of July 2018, a controlled country national is anyone who is a national of one of the following countries (excluding US green card holders and US citizens with dual citizenship): Armenia, Azerbaijan, Belarus, Burma (Myanmar), Cambodia, Cuba, the People's Republic of China, Georgia, Iran, Iraq, Kazakhstan, Kyrgyzstan, Laos, Libya, Macau, Moldova, Mongolia, North Korea, Russia, Sudan, Syria, Tajikistan, Turkmenistan, Ukraine, Uzbekistan, and Vietnam. Please review up-to-date information about the Commerce Department's export regulations, including the current list of countries, here.