
11 - 50 employees
Founded 2014
đ€ Artificial Intelligence
đ§Ź Biotechnology
đ€ Non-profit
đ° $482.5k Grant on 2021-11
Artificial Intelligence âą Biotechnology âą Non-profit
Future of Life Institute (FLI) is a non-profit organization dedicated to steering transformative technologies, such as artificial intelligence and biotechnology, towards benefiting life and minimizing large-scale risks. The Institute focuses on cause areas like artificial intelligence, biotechnology, and nuclear weapons, advocating for policy changes and public awareness to mitigate associated risks. FLI engages in policy advocacy, outreach, grantmaking, and hosting events to discuss safe development and governance of these technologies. It collaborates internationally with entities like the United Nations and the European Union to ensure that powerful technologies are harnessed for positive future outcomes.
đ June 12, 2025
đșđž United States â Remote
đ” $140k - $210k / year
âł Contract/Temporary
đĄ Mid-level
đ Senior
đ€ AI Engineer
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11 - 50 employees
Founded 2014
đ€ Artificial Intelligence
đ§Ź Biotechnology
đ€ Non-profit
đ° $482.5k Grant on 2021-11
Artificial Intelligence âą Biotechnology âą Non-profit
Future of Life Institute (FLI) is a non-profit organization dedicated to steering transformative technologies, such as artificial intelligence and biotechnology, towards benefiting life and minimizing large-scale risks. The Institute focuses on cause areas like artificial intelligence, biotechnology, and nuclear weapons, advocating for policy changes and public awareness to mitigate associated risks. FLI engages in policy advocacy, outreach, grantmaking, and hosting events to discuss safe development and governance of these technologies. It collaborates internationally with entities like the United Nations and the European Union to ensure that powerful technologies are harnessed for positive future outcomes.
âą Research and develop AI systems and platforms variously for: safety research, internal tooling, and safety community support âą Design and implement architectures for agent execution environments and interaction platforms âą Develop optimization algorithms for multi-objective and cooperative AI systems âą Create mechanisms for conflict resolution and preference aggregation in multi-agent settings âą Implement testing frameworks and example environments to validate theoretical approaches âą Build middleware components that facilitate secure and efficient agent communication âą Architect and develop reusable software components for AI alignment research âą Document system architectures, APIs, and implementation details âą Collaborate on technical publications and research presentations âą Contribute to both practical implementations and theoretical research in AI alignment âą Support the evaluation and refinement of research prototypes
âą MS or PhD in Computer Science, AI, or related field (or equivalent experience) âą Background in agent-based systems, multi-agent environments, or AI builder platforms âą Strong programming skills in both Python and Java âą Demonstrated ability to relatively independently drive technical projects from concept to implementation âą Familiarity with techniques for AI alignment, control, safety, or related research areas âą Experience developing middleware, frameworks, or platforms âą Previous work on multi-criteria decision making âą Experience in machine learning and semi-formal semantics âą Excellent communication skills and technical documentation abilities
âą plus good benefits if a U.S.-based employee
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