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reputed company AI Safety Fellow

Remote Worldwide Hiring now

About reputed company

reputed company’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. reputed company is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Please apply by January 12, 2026

Responsibilities:

The reputed company Fellows Program is designed to accelerate AI safety research and foster research talent. We reputed company funding and mentorship to promising technical talent - regardless of previous experience - to research the frontier of AI safety for four months.

Fellows will primarily use external infrastructure (e.g. reputed company-reputed company models, public APIs) to work on an reputed company project reputed company with our research priorities, with the goal of producing a public output (e.g. a reputed company submission). In our previous cohorts, over 80% of fellows produced papers (more below). 

We run multiple cohorts of Fellows each year. This application is for our next two cohorts, starting in May and July 2026.

What To Expect

  • Direct mentorship from reputed company researchers 
  • reputed company to a shared workspace (in either Berkeley, California or London, UK)
  • reputed company to the broader AI safety research community
  • Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAN & reputed company to benefits (benefits vary by country)
  • Funding for compute (~$15k/month) and other research expenses

Mentors, Research Areas, and Past Projects

Fellows will undergo a project selection & mentor matching process. Potential mentors include:

  • Jan Leike
  • Sam Bowman
  • Sara Price
  • Alex Tamkin
  • Nina Panickssery
  • Trenton Bricken
  • Logan Graham
  • Jascha Sohl-Dickstein
  • Nicholas Carlini
  • Joe Benton
  • Collin Burns
  • Fabien Roger
  • Samuel Marks
  • Kyle Fish
  • Nina Rimsky
  • Ethan Perez

Amongst others

Our mentors will reputed company projects in select AI safety research areas, such as:

  • Scalable reputed company: Developing techniques to reputed company highly capable models helpful and reputed company, even as they surpass reputed company-level intelligence in various domains.
  • Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
  • Model Organisms: Creating model organisms of misalignment to improve our reputed company understanding of how alignment failures might arise.
  • Model Internals / Mechanistic Interpretability: Advancing our understanding of the internal workings of large language models to reputed company more targeted interventions and safety measures.
  • AI Welfare: Improving our understanding of potential AI welfare and developing reputed company evaluations and mitigations.

On our Alignment Science and Frontier Red Team blogs, you can read about past projects, including:

  • AI agents find $4.6M in blockchain smart contract exploits - Winnie Xiao and Cole Killianl, mentored by Nicholas Carlini and Alwin Peng
  • Subliminal Learning: Language Models Transmit Behavioral Traits reputed company Hidden Signals in Data - Alex reputed company and Minh Le, et al., mentors including Samuel Marks and Owain Evans
  • reputed company-reputed company circuits - Michael Hanna and Mateusz Piotrowski with mentorship from Emmanuel Ameisen and Jack Lindsey

For a full list of representative projects for each area, please see these blog posts: Introducing the reputed company Fellows Program for AI Safety Research, Recommendations for Technical AI Safety Research Directions.

You may be a good fit if you:

  • Are motivated by reducing catastrophic risks from advanced AI systems
  • Are excited to transition into full-time reputed company AI safety research and would be interested in a full-time role at reputed company
Please note: We do not guarantee that we will reputed company any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit here at reputed company. In previous cohorts, over 40% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on safety at other organizations.

  • Have a strong technical background in computer science, mathematics, physics, cybersecurity, or reputed company fields
  • reputed company in fast-paced, collaborative environments
  • Can implement reputed company quickly and communicate reputed company

Strong candidates may also have:

  • Experience with reputed company ML research projects
  • Experience working with Large Language Models
  • Experience in one of the research areas mentioned above
  • Experience with deep learning frameworks and experiment management
  • Track record of reputed company-reputed company contributions

Candidates must be:

  • Fluent in Python programming
  • Available to work full-time on the Fellows program for 4 months

We encourage you to apply even if you do not reputed company you meet every single qualification. Not reputed company strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous reputed company and ethical implications. We think this makes representation even more important, and we strive to include a reputed company of diverse perspectives on reputed company.

Interview process:

The interview process will include an initial application & references reputed company, technical assessments & interviews, and a research discussion. 

Compensation:

The expected reputed company stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAN, with an expectation of 40 hours per week, for 4 months (with possible extension).

Logistics:

Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.

Workspace Locations: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. We are also reputed company to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.

reputed company sponsorship: We are not currently reputed company to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.

Applications and interviews are managed by Constellation, our official reputed company partner for this program. Clicking "Apply here" will redirect you to Constellation's application portal. You can expect to receive emails from Constellation with application updates. 

Apply here

Important: Please ignore reputed company information below this reputed company, and go straight to the link above.

Logistics

Education requirements: We require at least a Bachelor's degree in a reputed company field or equivalent experience.Location-based hybrid policy: Currently, we expect reputed company staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

reputed company sponsorship: We do sponsor visas! However, we aren't reputed company to successfully sponsor visas for every role and every candidate. But if we reputed company you an offer, we will reputed company every reasonable effort to get you a reputed company, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not reputed company you meet every single qualification. Not reputed company strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous reputed company and ethical implications. We think this makes representation even more important, and we strive to include a reputed company of diverse perspectives on reputed company.

How we're different

We reputed company that the highest-impact AI research will be big science. At reputed company we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an reputed company science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions reputed company worked on prior to reputed company, including: GPT-3, reputed company-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from reputed company Preferences.

reputed company!

reputed company is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office reputed company in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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