X is trying to build things most people can’t even imagine, and they’re doing it with the hope of making a huge, positive impact on the world by accelerating the team’s ability to deploy Large Language Model (LLM) agents in business environments for the purpose of business process optimization
Requirements
- 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
- Good at problem stating and problem solving, and turning ambiguous problem spaces into radical solutions
- Experience in using distributed computing resources, such as GCP, AWS, Azure or HPC clusters
- Ability to thrive on ambiguity, setting own goals and effectively delivering them in a fast-changing environment
Responsibilities
- 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)
- Develop the core software infrastructure to orchestrate collections of interacting agents as they converge towards a target goal
Other
- Must be enrolled in an academic program and working towards completing a PhD
- 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
- Adept at influencing without authority, working cross-functionally with different teams in order to drive decision making
- Can do attitude, willing to learn new tools and content to become an effective thought partner with project teams
