PhD Residency

PhD Residency - ML, Modeling and Planning 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. X's Residency Program: 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 What you'll be working on: + Modeling a wide range of decarbonization projects and the real-world events that may affect them, + Forecasting the full distribution of project behaviors as they are affected by these events, and + Design strategies for optimizing individual projects and project value chains. You will use your ML, data science and software engineering skills to instantiate your ideas as software modeling/optimization artifacts and will collaborate with our engineering and ML team to apply your ideas to real-world problems. Further, you will interact with a wide range of domain experts in modeling, decarbonization technologies, geospatial analysis, ML and financial analysis to inform and accelerate each other's work. What you should have: + Collaborate with X project team to experiment and build novel insights to physical, financial and risk analysis of decarbonization projects + Rapidly develop prototypes of artificial intelligence, machine learning models applied to sustainability and finance problems + Apply the latest in data science techniques to build and deploy data pipelines and exploratory data analysis on large-scale datasets + Model natural and techno-economic systems under a broad range of physical environments and configurations + Deliver high-level artifacts that summarize the outcome of your analyses, which may include reports, presentations and GUIs + Work cross-functionally with experts across, X, Alphabet, and academia It'd be great if you also had these: + Masters or PhD student in a STEM field (computer science, statistics, math, operations research or other quantitative field) + Strong knowledge of financial and probabilistic theory, as applied to financial markets + 5 years experience with simulations of real-world phenomena (e.g., physical, biological, ecological, sociological) + Understanding of decarbonization and carbon removal technologies, as well as carbon markets + Fluent in Python, C , SQL, databases, scripting, Matlab/R, SAS, and data visualization + Strong knowledge of statistical or machine learning modeling techniques, including Large Language Models and Geospatial analysis + Experience in using distributed computing resources, such as GCP, AWS, Azure or HPC clusters + Very strong strategy and 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 Additional public information : 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. 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 . 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