2025 PhD Residency - Agentic AI, Industrial Engineering and Manufacturing, Early Stage Project

Key Skills

Aartificial intelligence, C Programming, C++, JAX framework, Large Language Models - LLMs, Machine learning techniques, Python Programming, PyTorch

Job Description

General description: A machine learning/artificial intelligence specialist with experience in LLM and agentic workflow for industrial engineering, system engineering and/or chemical engineering

Collaborating with the X Project team to design and develop machine learning approaches/algorithms to the project's mission

• Understanding the project’s goals and challenges and conduct relevant literature surveys
• Suggesting agentic workflow solutions in which machines/approaches/algorithms/models can apply to those challenges
• Prototype/train/evaluate agentic AI models, features, digital twins and components of large scale Agentic AI systems

Engaging with the Intern community during the program, engaging with the X community, attending colloquia and tech talks.

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 should have:

• Currently enrolled in a PhD program in a STEM field such as CS, Physics, Engineering or Mathematics/Statistics with a strong interest in machine learning.
• Strong experience with one or more general purpose programming languages such as Python, C/C++.
• Proficiency in Machine Learning frameworks and libraries (e.g., JAX, PyTorch).
• Hands-on experience with agentic frameworks, such as Langgraph, Autogen, CrewAI.
• A basic understanding of manufacturing control and optimization, as in industrial engineering, chemical engineering or system engineering is required

It’d be great if you also had these:

• Open-source projects that demonstrate relevant skills and/or publications in relevant conferences and journals (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICASSP).
• Familiar with Model Context Protocol (MCP)
• Experience with Retrieval-Augmented Generation (RAG), Cache-Augmented Generation (CAG), or LLM applications
• Some experience with prompt engineering and/or post training techniques (SFT, RLHF, DPO)

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 - $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.