2026/2027 PhD / Master's Residency - Machine Learning / Software Engineering (Early Stage Project)

Masters or PhD student in a STEM field (financial engineering, risk management, operations research, math/statistics 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.

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

Degree in a science, math, or engineering field

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

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

https://www.npr.org/2025/09/12/nx-s1-5493348/astro-teller-takes-us-inside-the-moonshot-factory-building-tech-ahead-of-its-time

https://time.com/collections/best-inventions-2024/7094574/x-taara/

https://youtu.be/_iLJU4HORAA?si=aK8cHf64NUNcsZXr

https://www.fastcompany.com/best-workplaces-for-innovators/list/84

The US base salary range for this position is $109,000 - $157,000 + 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.