Research Engineer / Scientist, Societal Impacts

Anthropic•San Francisco, CA

3d•Hybrid

About The Position

Anthropic’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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a Research Engineer / Scientist on the Societal Impacts team, you'll design and build critical infrastructure that enables and accelerates foundational research into how our AI systems impact people and society. Your work will directly contribute to our research publications, policy campaigns, safety systems, and products. Our team combines rigorous empirical methods with creative technical approaches. We’re currently grappling with big questions on how AI might impact the future of work, people's wellbeing, education, and more. Additionally, we are continuously studying socio-technical alignment (what values do our systems have?), and evaluating novel AI capabilities as they arise. We develop privacy-preserving tools to measure AI's effects at scale, conduct mixed-methods studies of human-AI interaction, and translate research insights into actionable recommendations for both product and policy. You can learn more about our team here Strong candidates will have a track record of running & designing experiments relating to machine learning systems, building data processing pipelines, architecting & implementing high-quality internal infrastructure, working in a fast-paced startup environment, navigating the ambiguity inherent to novel empirical research, and demonstrating an eagerness to develop their own research & technical skills. The ideal candidate will enjoy a mixture of running experiments, developing new tools & evaluation suites, working cross-functionally across multiple research and product teams, and striving for beneficial & safe uses for AI. For this role, we are open to a 6-month residency at Anthropic with the expectation that residents convert to full-time if they do well in their residency.

Requirements

Have experience working with Research Scientists on ambiguous AI projects
Have experience building and maintaining production-grade internal tools or research infrastructure
Take pride in writing clean, well-documented code in Python that others can build upon
Are comfortable making technical decisions with incomplete information while maintaining high engineering standards
Are comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization
Have a track record of using technical infrastructure to interface effectively with machine learning models
Have experience deriving insights from imperfect data streams
Have experience building systems and products on top of LLMs
Have experience incubating and maturing tooling platforms used by a wide variety of stakeholders
We require at least a Bachelor's degree in a related field or equivalent experience.

Nice To Haves

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
Distributed systems and can design for scale and reliability
Scaling and optimizing the performance of tools
Product management and/or full-stack product engineering, with a track record of zero-to-one work in startup (or startup-like environments) and owning products end-to-end
Research relating to the societal impacts of technology

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
Interface with and improve our internal technical infrastructure and tools
Generate net-new insights about the potential societal impact of systems being developed by Anthropic
Ship changes that help improve our models and products based on the empirical research the Societal Impacts team is conducting