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Conduct high-stakes research to inform philanthropic strategy and grantmaking aimed at mitigating global catastrophic risks from transformative AI and biorisk. Identify scalable spending opportunities, model AI trajectories, and lead research teams to improve long-run future outcomes.
Conduct in-depth research on tools that prevent public web data collection and reverse engineer adversary solutions. Build and improve HTTP client solutions to ensure successful data collection efforts.
Build and scale the foundational Research Ops infrastructure while executing mixed-methods research to inform product strategy. Partner with leadership to validate early concepts and translate user insights into business value and ARR opportunities.
Develop novel ML models and algorithms for computational perception and interaction to enhance the Nex Playground platform. Conduct rapid experiments to validate new methods and collaborate with engineers to integrate research into production systems.
Lead coordination for threat research, product protection, and communication efforts during major global cyber events. Produce actionable intelligence products and technical research to inform defenders and internal stakeholders.
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Lead end-to-end research cycles and usability tests to uncover user behaviors and pain points for GenAI features. Partner with product managers and engineers to translate research findings into actionable product requirements and roadmap updates.
Develop detection methods and AI-driven workflows to identify emerging threats across large-scale customer telemetry. Collaborate with data engineers and product teams to translate threat intelligence into production-grade security detections.
Analyze market microstructure and on-chain data to identify trading opportunities and build automated strategies. Design and implement end-to-end market-making, arbitrage, and systematic trading systems while ensuring low-latency performance.
Lead the research and development of evaluation frameworks and metrics to optimize the quality of large-scale speech datasets. Translate research insights into scalable filtering rules and tools to improve downstream ML model performance.
Develop automated solutions for collecting and analyzing security data at scale and perform vulnerability research on various targets. Collaborate across teams to reproduce emerging vulnerabilities and publish research findings on the company blog or at conferences.
Drive original research on offensive security agents focusing on reasoning, planning, and autonomous long-horizon operation. Advance the post-training pipelines and co-evolutionary self-training architectures for the company's core AI models.
The researcher will perform quantitative analyses and statistical modeling to produce gender-based violence estimates for the Global Burden of Disease Study. Responsibilities include extracting and transforming data from various sources and co-authoring scientific publications in peer-reviewed journals.
Design and implement multi-period portfolio optimization frameworks that account for market frictions and transaction costs. Develop intraday trading strategies and monitor model performance within a live trading environment.
Design and build high-value datasets, tasks, and environments to benchmark agentic systems and multi-step model behavior. Develop frameworks to evaluate data quality and connect model failures to specific dataset or environment gaps.
The role involves conducting horizon-scanning for novel AI-enabled hazard classes and developing methodologies for reasoning about emerging threats. The researcher will also collaborate across programs to integrate civil safety perspectives with broader risk assessment and governance.
Design and implement multi-period portfolio optimization frameworks that account for market frictions and transaction costs. Develop intraday trading strategies and monitor model performance within a live trading environment.
Develop advanced AI solutions and prototypes to improve health outcomes and empower primary care physicians. Collaborate with engineering teams to integrate AI models into healthcare workflows using large-scale medical data sets.
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Participate in various research studies and data entry tasks to contribute to meaningful outcomes. Work independently from home to complete assigned studies using a computer or smartphone.
Design, research, and evaluate new systematic trading strategies specifically for futures markets. Continuously improve existing strategies and the underlying research technology stack and codebase.
Develop, implement, and evaluate quantitative trading models within global equity markets. Focus on continuously improving modeling techniques and identifying orthogonal factors to enhance portfolio performance.
Develop, implement, and evaluate quantitative trading models within global equity markets. Focus on continuously improving modeling techniques and identifying orthogonal factors to enhance portfolio performance.
Design, research, and evaluate new systematic trading strategies specifically for futures markets. Continuously improve existing strategies and the underlying research technology stack and codebase.
Lead research in AI for quantum algorithm discovery and drive technical collaborations with supercomputing centers and QPU builders. Develop innovative quantum-classical applications and publish impactful research to drive NVIDIA's quantum product adoption.
Research and develop state-of-the-art voice synthesis models including TTS and voice cloning. Collaborate with cross-functional teams to integrate these models into production-ready pipelines for expressive and natural-sounding speech.
Lead research agendas to identify cost-effective nutrition interventions and inform grantmaking decisions. This includes conducting empirical evidence reviews, designing impact evaluations, and managing portfolios in areas like Vitamin A and iron supplementation.
Lead ambitious research agendas to identify and evaluate cost-effective global health interventions for grantmaking. This involves combining empirical evidence review, cost-effectiveness modeling, and expert consultation to inform funding decisions.
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The successful candidate will lead multidisciplinary teams to provide technical assistance and implementation support for Medicaid projects. They will also engage with clients to develop innovative solutions and apply rigorous analytic thinking to data interpretation.
Lead end-to-end research studies to uncover user needs and validate workflows in high-stakes aerospace environments. Collaborate with cross-functional teams to translate research insights into actionable product roadmaps and design decisions.
Research emerging fraud and abuse techniques to design and validate new security signals and detection mechanisms. Collaborate with engineering and data science teams to translate research insights into scalable product capabilities.
Identify vulnerabilities in Apple platforms using static and dynamic analysis techniques. Develop Proof-of-Concepts and custom tooling to demonstrate and validate identified security flaws.
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