2 0 2 6 P h D R e s i d e n c y - M L / S W E , O r c h e s t r a t i o n o f A g e n t i c S y s t e m s , E a r l y S t a g e P r o j e c t
Internship Mountain View, CA
How you will make 10x impact
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), and most importantly HAVE FUN!
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): Early 2026
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
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. 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
It’d be great if you also had these:
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
Experience in using distributed computing resources, such as GCP, AWS, Azure or HPC clusters
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.
An Equal Opportunity Workplace
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.
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2026 PhD Residency - ML / SWE, Orchestration of Agentic Systems, Early Stage Pro
X Development, LLC · Mountain View, CA, USA ·
- Pay:
- $109,000-$157,000/yr
- Job type:
- Full Time