Research Scientists at FutureSearch are responsible for doing breakthrough research on the frontier of AI forecasting, research, and epistemics.
We are a small, elite team of engineers and researchers at the frontier of our subfield of AI. Please see our website for our public track record, our papers, our benchmarks and datasets, our current research on the future of AI, and a description of the members of our team.
Research Scientists at FutureSearch are exceptional as researchers, and they also excel at doing research at a startup. We work extremely quickly, exercise excellent judgment in what is ultimately valuable, and are pragmatic. We anticipate how their research will connect to the product and customer deliverables. We communicate continuously as a team.
Requirements
The strongest candidates have experience
Benefits
FutureSearch is fully remote. We concentrate in London, with SF and Berlin as our next most traveled work locations. We prioritize traveling to meet at minimum 6 times per year, usually in or near London.
As a remote company, we have flexible hours, with required synchronous attendance for critical US - Europe overlap hours (~7-10am Pacific).
We are a seed stage startup, and we offer higher-than-average equity for startups of our stage.
We offer full benefits, depending on the country, including healthcare, paternity/maternity leave, equipment, and travel expenses.
Salary range is $160k - $250k for US roles, and adjusted for the local labor market outside the US.
Analyze English and Spanish language data to create and validate AI training annotations, explain grammar, design vocabulary tasks, and shape lesson outlines grounded in real-world usage.
Analyze HIV-related genomic and clinical datasets, build production bioinformatics pipelines, and advise research teams on computational methods, statistical analysis, and experimental design.
Design and validate rigorous, multi-step computational life sciences tasks that test whether AI agents can inspect scientific data, write and run code, troubleshoot workflows, and produce verifiable results.
Research and deploy trading algorithms by analyzing market data, developing statistical signals and tools, and improving simulations to support high- to mid-frequency trading and live execution.
Research and validate vulnerabilities in modern browsers by auditing code, analyzing browser internals and sandbox boundaries, developing fuzzers and proof-of-concept exploits, and documenting technical findings.
