Dar***dei

CEO and Co-Founder

Education

Princeton University

Princeton University (2006 - 2011)

  • Degree: PhD
  • Field of Study: (Bio)physics
  • Description: Advisors: Prof. Micheal Berry and Prof. Wiliam Bialek

Stanford University (2004 - 2006)

  • Degree: BS
  • Field of Study: Physics
  • Description:

Caltech (2001 - 2003)

  • Degree: Progress towards BS
  • Field of Study: Physics
  • Description:

Skills:

Physics, Algorithms, Machine Learning, Matlab

Work Experience:

CEO and Co-Founder at Anthropic

  • Location:
  • Duration: 2021-02 to Present
  • Description: Combining scaling and long-term AI alignment methods to build steerable, interpretable, and robust AI systems.

Vice President of Research at OpenAI

  • Location: San Francisco Bay Area
  • Duration: 2019-12 to 2020-12
  • Description: * I led the efforts to build GPT-2 and GPT-3 (https://arxiv.org/abs/2005.14165). * I am one of two people who sets overall research direction at OpenAI and writes its annual research roadmap. * In addition I have built and lead several teams focused on long-term safety research, including how to make AI systems more interpretable and how to embed human preferences and values in future powerful AI systems.

Research Director at OpenAI

  • Location: San Francisco Bay Area
  • Duration: 2018-09 to 2019-12
  • Description:

Team Lead for AI Safety at OpenAI

  • Location: San Francisco Bay Area
  • Duration: 2016-07 to 2018-09
  • Description:

Senior Research Scientist at Google

AI Resume Analysis

Candidate Intelligence Report

AI-powered analysis from the perspective of a US hiring director — evaluating career continuity, growth trajectory, and role fit.

Career Continuity & Risk Assessment

Employment GapLow

The timeline shows continuous progression with only a brief 2-month transition between 2020-12 and 2021-02, indicating no material employment gap.

Industry ConsistencyLow

Career is consistently within AI research and leadership across Google, OpenAI, and Anthropic, reflecting a stable trajectory in the same industry.

Tenure StabilityMedium

Early career includes shorter stints (Google ~9 months), but recent roles are longer and progressively senior, with notable stability since 2016.

Education-Career MatchLow

Educational background from a prestigious institution (Princeton) aligns with high-level AI research leadership; the resume emphasizes strong technical and leadership outcomes, mitigating concerns about alignment.

Career Growth Curve

Senior Research Scientist Entry
Google
2015-10 to 2016-07
Team Lead for AI Safety ↑ Promoted
OpenAI
2016-07 to 2018-09
Research Director ↑ Promoted
OpenAI
2018-09 to 2019-12
Vice President of Research ↑ Promoted
OpenAI
2019-12 to 2020-12
CEO and Co-Founder ↑ Promoted
Anthropic
2021-02 to Present
Assessment: The candidate exhibits a clear upward trajectory in AI research leadership, culminating in a founder/CEO role. This background positions them well for top-tier executive roles (e.g., Chief AI Officer or Chief Scientist) that require both technical depth and strategic, organizational impact.

Best-Fit Roles (Top 5)

1

Chief AI Officer (CAIO)97% fit

Proven track record leading AI safety, research strategy, and product-facing AI initiatives at OpenAI and Anthropic; strong executive leadership aligned with business goals.

2

Chief Scientist / VP of AI Research95% fit

Deep technical leadership with hands-on breakthroughs (GPT-2/3 lineage) and roadmap ownership; ideal for guiding large-scale AI research programs.

3

Head of AI Safety and Ethics92% fit

Specialized focus on safety and alignment at scale; capable of building governance and risk frameworks across product pipelines.

4

Director of AI Research89% fit

Experience directing multi-team research programs and setting roadmaps; suitable for enterprise R&D leadership.

5

Senior Fellow / Chief Scientist, AI Safety85% fit

Policy-and-safety oriented leadership suitable for think tanks or industry consortia; broad influence and external collaboration.

Experience AI Recruiter

$0 to start. Don't let your competitors get the AI advantage first.

Join over 10,000 companies using AI-driven recruitment solutions to automate your hiring process and save 80% in time costs.

33% off, only 48 hours left!
Try AI Free

24/7 automated operation

AI-powered candidate screening

Recruitment without geographical or time zone limitations

Personalized intelligent communication

Automated assessment of candidate engagement

Intelligently mimics and replicates your recruitment style

4-month money-back guarantee

Ensures LinkedIn account security