2024-05-24T13:04:49-04:00 X, The Moonshot Factory
PhD Residency - Network Simulation & Machine Learning (Project Taara)
Internship
Mountain View, CA

X is Alphabet’s moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.

How you will make 10x impact: 

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 3 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

 

Responsibilities

  • Collaborating with Project Taara to applying AI to the project’s mission
    • Understanding the project’s challenges
    • Suggesting a number of ways in which AI can apply to those challenges
    • Building simulation models for real-world network deployments
    • Work closely with team members to implement solutions
  • Learning Moonshot thinking, attending tech talks.
  • Engaging with the X community during the program.

 

What you should have: 

  • Currently enrolled in a PhD program in a STEM field such as CS, Engineering or Mathematics/Statistics with a strong interest in computer networking and machine learning.
  • Experience with one or more general purpose programming languages, including but not limited to: Python, Java, C/C++.
  • Experience with network performance modeling and monte carlo simulation.
  • Experience with practical machine learning modeling, especially on time-series forecasting, analysis and inference.

 

It’d be great if you also had these: 

  • Research experience in routing protocols, time-series analysis, predictive modeling.
  • Solid written and verbal communication skills.
  • Demonstrated personal passion to apply talents towards solving global problems.
  • A growth mindset: you want to learn as fast as possible, value feedback and are committed to grow fast in the role.

 

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 - $145,000 + 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.

At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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