Senior Technical Researcher, AI Infrastructure Development

3 weeks ago


San Francisco, California, United States Plurality Full time
About the Role

We are seeking a skilled Senior Technical Researcher to join our Societal Impacts team at Plurality. As a key member of this team, you will play a vital role in designing and building critical infrastructure that enables and accelerates foundational research into how our AI systems impact people and society.

Our ideal candidate will have a track record of running and designing experiments relating to machine learning systems, building data processing pipelines, architecting and implementing high-quality internal infrastructure, and working in a fast-paced startup environment.

You will be responsible for leading technical design discussions to ensure our infrastructure can support both current needs and future research directions. Additionally, you will partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic's safety mission.

The successful candidate will enjoy a mixture of running experiments, developing new tools and evaluation suites, working cross-functionally across multiple research and product teams, and striving for beneficial and safe uses for AI.

Key Responsibilities:
  • Design and implement scalable technical infrastructure that enables researchers to efficiently run experiments and evaluate AI systems
  • Architect systems that can handle uncertain and changing requirements while maintaining high standards of reliability
  • Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions
  • Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic's safety mission
Your Skills and Qualifications:
  • Experience building and maintaining production-grade internal tools or research infrastructure
  • Pride in writing clean, well-documented code in Python that others can build upon
  • Comfortable making technical decisions with incomplete information while maintaining high engineering standards
  • Experience with distributed systems and designing for scale and reliability
  • Track record of using technical infrastructure to interface effectively with machine learning models
Additional Requirements:
  • Maintaining large, foundational infrastructure
  • Building simple interfaces that allow non-technical collaborators to evaluate AI systems
  • Working with and prioritizing requests from a wide variety of stakeholders, including research and product teams
  • Scaling and optimizing the performance of tools

A competitive salary range for this position is between $200,000 and $300,000 per year, depending on experience.



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