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X, The Moonshot Factory

2025 X Intern- Software Engineer - Bellwether

X, The Moonshot Factory
United States · Full-time · Mid-Senior

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

  • 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

Throughout Your AI Residency You Can Expect

  • To be embedded into one of our confidential or public X projects
  • To get paid competitively and receive benefits
  • To be a part of a lively community of AI and ML Residents
  • To attend tech-talks with AI leaders from across X

About the Team: Bellwether works at the intersection of geospatial data and machine learning to develop new tools for adaptation to a changing planet. With this focus we are working rapidly with large data sets and provide exciting outputs to real-world customers related to environmental patterns, including severe weather, floods, and wildfires. We are a small but very industrious team that is both exploring new areas with our technology and pushing out live production code for partners to accelerate our learnings.

How You Will Make 10x Impact

  • Write python code for a scalable backend system to process geo data.
  • Extend and implement machine learning models in development and production
  • Design and write python code for monitoring the backend system
  • Work alongside the team in new experiments at the intersection of geospatial and ML
  • Work alongside the team in defining new products and developer tools in this domain

What You Should Have

  • Currently enrolled in an undergraduate or masters program in a STEM field such as CS, Physics, Chemistry, Neuroscience or Mathematics/Statistics with a strong interest in backend systems and scalable architectures.
  • Experience with one or more general purpose programming languages, including but not limited to Python
  • Experience with open source tools such as git, terraform, Google Compute Engine, Amazon Web Services, etc.
  • Familiar with one or more common software design patterns (for example, Observer, Decorator, Visitor, Producer/Consumer, etc)
  • Be willing and excited to learn new concepts and tactics across the full stack!

It’d Be Great If You Also Had These

  • Experience with distributed, scalable systems and backends
  • Experience writing production-level code in a Cloud environment

Additional Public Information

https://www.wired.com/video/watch/astro-teller-captain-of-moonshots-at-x-speaks-at-wired25

https://www.bloomberg.com/news/videos/2019-10-10/alphabet-x-s-astro-teller-on-bloomberg-studio-1-0-video

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.

The US base salary range for this full-time position is between $118,000 - $122,000 + 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.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.

Key Skills

Ranked by relevance

ai machine learning python design patterns terraform embedded cloud git
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Posted
Apr 03, 2025
Type
Full-time
Level
Mid-Senior
Location
Mountain View

Industries

Research

Categories

Engineering Information Technology

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