2026 PhD / Masters Residency - Machine Learning / Software Engineering (AI)

TL;DR

PhD / Masters Residency - Machine Learning / Software Engineering (AI): Developing novel neural reasoning capabilities to tackle climate change with an accent on LLMs, geospatial foundation models, and simulations. Focus on solving large-scale planning and optimization problems, building generative algorithms, and deploying high-scale data pipelines.

Location: Onsite at X's headquarters in Mountain View, CA

Company

hirify.global is a moonshot factory (part of Alphabet) dedicated to solving the world's biggest problems through radical technology.

What you will do

• Develop neural reasoning capabilities and tools based on LLMs and geospatial foundation models to address climate change.
• Build generative optimization algorithms for real-world modeling tasks in collaboration with human experts.
• Create rapid prototypes of AI/ML models applied to sustainability and finance problems.
• Develop and deploy data pipelines and perform exploratory data analysis on large-scale datasets.
• Collaborate cross-functionally with experts from X, Alphabet, and academia.
• Assess project de-risking areas by evaluating value chain maps, costs, and revenues.

Requirements

• Must be a Masters or PhD student in a STEM field (e.g., financial engineering, math/statistics, operations research).
• Strong knowledge of financial and probabilistic theory as applied to financial markets.
• 5 years of experience with simulations of real-world phenomena (physical, biological, ecological, or sociological).
• Understanding of carbon markets and decarbonization/carbon removal technologies.
• Proficiency in Python, C++, SQL, databases, scripting, Matlab/R, SAS, and data visualization.
• Experience using distributed computing resources such as GCP, AWS, Azure, or HPC clusters.

Nice to have

• Degree in a science, math, or engineering field.
• Ability to thrive in ambiguous, fast-changing environments and set independent goals.
• Adept at influencing without authority to drive decision-making across cross-functional teams.

Culture & Benefits

• Integration into one of X's confidential or public moonshot projects.
• Competitive pay and benefits package.
• Access to a lively community of AI and ML Residents.
• Opportunities to attend tech-talks with AI leaders from across the organization.
• Exposure to "moonshot thinking" and high-impact innovation.