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Internship

Mountain View, CA

THE FOUNDATION OF AN AMAZING JOURNEY

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

+ To attend colloquium and discussions with team leads from across Google, DeepMind and external organizations

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'll be working on:

In this role you will accelerate our team’s ability to deploy Large Language Model (LLM) agents in business environments for the purpose of business process optimization. You will develop the core software infrastructure to orchestrate collections of interacting agents as they converge towards a target goal. You will be working at the cutting edge of the agentic application space.

How you will make 10X Impact:

+ Collaborate with X project team to experiment and build novel insights to business process optimization and ML-accelerated data ingestion

+ Rapidly develop prototypes of artificial intelligence, machine learning models applied to business process workflows

+ Apply the latest in data science techniques to build and deploy data pipelines and exploratory data analysis on large-scale datasets

+ Develop value chain maps, evaluate costs and revenues to assess and recommend areas in which to de-risk the project

+ Work cross-functionally with experts across, X, Alphabet, and academia

+ Engage with the intern community during the program (attending tech talks, colloquium, and learning moonshot thinking), and most importantly HAVE FUN!

What you should have:

+ Active PhD program in Computer Science

+ Working experience with LLMs, Transformer architectures and data pipelines.

+ Fluent in Python, ML APIs (Tensorflow, Pytorch or JAX)

+ Very strong analytical skills. Ability to gather and analyze large quantities of information, and turn them into insightful business recommendations

+ Good at problem stating and problem solving, and turning ambiguous problem spaces into radical solutions. Must be able to break down problems independently

+ Can do attitude, willing to learn new tools and content to become an effective thought partner with project teams

+ Excellent communication skills i.e experience writing strategy docs, experience delivering presentations, and a general openness to liaise with senior external partners

+ Motivated by making the world a better place through technology, and wanting to be part of a team that makes this happen

It’d be great if you also had these:

+ An ability to thrive on ambiguity, setting own goals and effectively delivering them in a fast-changing environment

+ Adept at influencing without authority, working cross-functionally with different teams in order to drive decision making

+ Experience in using distributed computing resources, such as GCP, AWS, Azure or HPC clusters

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

The US base salary range for this position is $109,000 - $150,000 + 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.

An Equal Opportunity Workplace

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.

If you have a disability or special need that requires accommodation, please contact us at

[email protected]

.