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Experience Level
Entry Level
Qualifications
Ideal candidates should possess a strong background in their respective fields and demonstrate a passion for advancing AI research. We value innovative thinking and the ability to apply interdisciplinary approaches to complex problems. Previous research experience and a commitment to collaboration are highly desirable.
About the job
The Perplexity Research Residency stands as our premier initiative designed to empower outstanding research talent from diverse fields to influence the future of artificial intelligence (AI). This program opens avenues for exceptional researchers, engineers, and analysts from disciplines outside traditional AI research to make significant contributions to the advancement of AI and its implications for users. We welcome applications from theoretical physicists, cognitive scientists, biochemists, quants, mathematicians, philosophers, and distinguished researchers in any other relevant field.
For comprehensive details on the Perplexity Research Residency and the application process, please visit our program homepage. We encourage you to review the “What We’re Looking For” section for the specific criteria that will guide our selection of candidates.
The annual cash compensation for this position is set at $220,000, prorated for a three-month term.
About Perplexity
Perplexity is at the forefront of AI research, dedicated to fostering innovation and excellence. Our mission is to leverage diverse expertise to enhance the development and application of artificial intelligence technologies that benefit society.
Full-time|$220K/yr - $220K/yr|On-site|San Francisco
The Perplexity Research Residency stands as our premier initiative designed to empower outstanding research talent from diverse fields to influence the future of artificial intelligence (AI). This program opens avenues for exceptional researchers, engineers, and analysts from disciplines outside traditional AI research to make significant contributions to the advancement of AI and its implications for users. We welcome applications from theoretical physicists, cognitive scientists, biochemists, quants, mathematicians, philosophers, and distinguished researchers in any other relevant field.For comprehensive details on the Perplexity Research Residency and the application process, please visit our program homepage. We encourage you to review the “What We’re Looking For” section for the specific criteria that will guide our selection of candidates.The annual cash compensation for this position is set at $220,000, prorated for a three-month term.
About Mentis AI Mentis AI brings together institutional finance expertise and advanced AI research. With offices in London and San Francisco, the team collaborates with top AI labs to improve model reasoning and decision-making for high-stakes financial scenarios. About the AI Residency This part-time residency is designed for experienced research analysts and portfolio managers in investment banking or capital markets. The program focuses on practical applications of advanced AI in real-world financial settings. Key Responsibilities Prompt Engineering: Develop and refine realistic prompts to test the relevance and quality of AI-generated insights. Comparative Analysis: Systematically compare human judgment and AI outputs in M&A, ECM, DCM, and leveraged finance contexts. Framework Development: Translate senior bankers' transaction evaluation and deal structuring methods into challenges that push AI reasoning. Benchmark Construction: Build and validate real-world transaction analyses and valuation frameworks to measure the performance of advanced AI systems. What Makes This Role Distinct See firsthand how AI is changing deal workflows, from pitchbooks to financial modeling and closing transactions. Shape how next-generation AI models approach transaction structuring, valuation, and capital markets execution as an investment banking professional.
About Us Mentis AI operates at the dynamic intersection of institutional investment expertise and cutting-edge AI technologies. Our dedicated team merges extensive asset management experience from industry leaders, including Lazard and Partners Group, with innovative machine learning and applied AI research. With locations in London and San Francisco, we partner with top AI laboratories to enhance model reasoning, generalization, and decision-making in critical financial scenarios.The Opportunity This part-time residency is tailored for senior research analysts and portfolio managers eager to gain valuable insights into the application of AI within the insurance domain. Here, you will experience firsthand the practical use of advanced AI systems.Key Responsibilities:Prompt Development: Create and refine realistic prompts intended for junior roles to assess the relevance and quality of AI-generated insights.Human vs. Machine Evaluation: Systematically analyze discrepancies between professional insurance judgments and AI outputs across investments, underwriting, and actuarial scenarios.Framework Design: Transform the methods used by insurance professionals to assess risk, price policies, manage general account portfolios, and model liabilities into challenges that push the boundaries of AI reasoning.Expert Benchmark Construction: Develop and validate practical underwriting cases, actuarial analyses, and investment frameworks utilized to evaluate leading-edge AI systems.Why This Experience Is ValuableGain hands-on exposure to how AI is revolutionizing insurance operations, from underwriting and pricing to portfolio management and capital modeling.Be at the forefront as one of the first insurance professionals engaged in exploring how frontier AI models analyze carrier operations, risk assessment, and insurance finance.Who You AreA professional with 4+ years of experience at a prominent Property & Casualty or Life insurance carrier.Holding an Associate or VP level position in one of the following functions:Investments: Managing fixed income or multi-asset portfolios within an insurance general account, with knowledge of ALM, duration matching, and regulatory capital constraints (RBC/Solvency II).Underwriting: Engaging in the underwriting process with a strong analytical approach.
About Us Mentis AI operates at the forefront of institutional finance and advanced AI, merging extensive experience in financial services with cutting-edge machine learning and AI research. Our teams, based in San Francisco and London, collaborate with top AI laboratories to enhance decision-making processes in critical financial situations.The Opportunity As AI technology increasingly integrates into essential insurance operations—from portfolio management to underwriting and regulatory assessments—this residency offers insurance professionals a unique chance to gain practical insights into the development, evaluation, and optimization of advanced AI systems within the insurance sector.Your responsibilities will include:Constructing Expert Benchmarks: Develop and validate real-world underwriting scenarios, actuarial evaluations, and investment strategies used for assessing advanced AI systems.Stress-Testing Model Reasoning: Identify and analyze weaknesses in AI-generated insurance evaluations, uncovering flaws in logic, assumptions, or domain understanding.Designing Frameworks: Transform how insurance experts assess risks, set policy prices, manage portfolios, and model liabilities into challenges that extend the boundaries of AI reasoning.Comparing Human vs. Machine Judgment: Rigorously assess the differences between professional insurance decisions and AI outputs in various contexts such as investments and underwriting.Why This Experience Is ValuableBe among the pioneers in the insurance field working directly on how advanced AI models interpret carrier operations and risk management.Enhance your profile if you aim to bridge the gap between insurance and AI, whether at an insurance company, AI firm, or as an entrepreneur.Gain hands-on experience with how AI is transforming insurance processes, from underwriting to pricing and capital modeling.Who You ArePossess 4+ years of experience at a prominent P&C or Life insurance company.Hold an Associate or VP role in areas such as underwriting, actuarial sciences, or portfolio management.
About Us Mentis AI operates at the confluence of institutional finance and cutting-edge AI technologies. Our dedicated team merges substantial financial services experience from institutions like Lazard and Partners Group with advanced machine learning and applied AI research. Based in both London and San Francisco, we partner with leading AI research laboratories to enhance model reasoning, generalization, and decision-making in high-stakes financial scenarios.The Opportunity The integration of AI into venture capital workflows is advancing rapidly, from deal sourcing and founder assessment to market evaluation, term sheet negotiation, and portfolio development. This part-time residency offers venture capital professionals the chance to gain practical insights into the construction, evaluation, and enhancement of advanced AI systems within the framework of early and growth-stage investments.Your ResponsibilitiesDevelop Expert Benchmarks: Create and validate real-world investment memoranda, market assessments, and frameworks for evaluating founders that are utilized to assess frontier AI systems.Analyze Model Reasoning: Identify weaknesses in AI-generated venture analyses, pinpointing gaps in logic, assumptions, or investment intuition.Create Evaluation Frameworks: Translate how venture capitalists assess founders, size markets, evaluate competitive landscapes, and build portfolios across various stages and sectors into challenges that test the limits of AI reasoning.Assess Human vs. Machine Judgment: Systematically compare discrepancies between professional venture assessments and AI-generated outputs across deal evaluation, term sheet formulation, and portfolio management environments.Why This Experience MattersBe among the first venture capital professionals to engage directly with how frontier AI models interpret early-stage investing, founder evaluation, and portfolio management.Establish a unique profile for those aiming to merge venture capital with AI, whether in a fund, at an AI startup, or in entrepreneurial ventures.Gain hands-on experience in how AI is transforming venture workflows, from sourcing and due diligence to writing investment memoranda, engaging with boards, and monitoring portfolios.Who You AreA professional with 4+ years of venture capital investing experience at a prestigious VC firm (e.g., Sequoia Capital, Andreessen Horowitz, Accel, Index Ventures).
About Us Mentis AI is pioneering the integration of advanced AI technologies within the realm of institutional finance. Our expert team draws from extensive backgrounds in financial services (including firms like Lazard and Partners Group) and specializes in cutting-edge machine learning and applied AI research. With offices in London and San Francisco, we partner with top AI laboratories to enhance model reasoning, generalization, and decision-making in crucial financial environments.The Opportunity As artificial intelligence transforms core wealth management processes—from portfolio construction to client communications and integrated advisory delivery—this part-time residency invites wealth management and private client specialists to gain invaluable, hands-on exposure to the development, evaluation, and enhancement of sophisticated AI systems tailored for high-net-worth advisory and family office investing.Your Responsibilities:Expert Benchmark Construction: Develop and validate real-world portfolio analyses, financial planning frameworks, and client advisory materials to assess frontier AI systems.Model Reasoning Stress Testing: Identify weaknesses in AI-generated wealth management analyses, pinpointing logical flaws, erroneous assumptions, or shortcomings in advisory intuition.Framework Design: Convert professional practices for building customized portfolios, selecting managers, addressing tax and estate considerations, and communicating investment rationale to sophisticated clientele into challenges that stretch AI reasoning capabilities.Human vs. Machine Judgment Comparison: Evaluate discrepancies between human advisory judgments and AI outputs, particularly in asset allocation, alternative investments, financial planning, and private client scenarios.Why This Experience Matters:You will be among the pioneering wealth management professionals contributing directly to the advancement of AI models relevant to portfolio construction, financial planning, and private client advisory services.This unique opportunity positions you at the intersection of wealth management and AI, valuable for roles in RIAs, private banks, AI firms, or for those aspiring to innovate in the space.Gain practical insights into how AI is transforming advisory workflows, from asset allocation and manager selection to tax-aware investing, estate planning, and client reporting.
About Us Mentis AI operates at the cutting edge of institutional investment and advanced AI systems. Our team merges extensive asset management knowledge from industry leaders with expertise in machine learning and AI research. With offices in London and San Francisco, we partner with top-tier AI laboratories to enhance how models analyze, generalize, and make decisions in critical financial scenarios.The Opportunity This residency program is tailored for seasoned research analysts and portfolio managers seeking invaluable experience in the evolving landscape of AI within wealth management. You'll gain hands-on exposure to cutting-edge AI systems while contributing to significant advancements in the field.Your ResponsibilitiesPrompt Development: Create and refine realistic prompts to assess the relevance and quality of AI-generated insights, simulating junior analyst inquiries.Human vs. AI Evaluation: Methodically compare discrepancies between professional advisory judgments and AI outputs in areas like asset allocation, alternatives, and financial planning.Framework Design: Translate practitioner strategies for portfolio construction, manager selection, and investment communication into challenges that test AI reasoning capabilities.Benchmark Construction: Develop and validate real-world portfolio analyses and advisory materials critical for evaluating frontier AI systems.Benefits of This ExperienceGain practical insights into how AI is revolutionizing advisory workflows, including investment strategies and client reporting.Be among the pioneers in wealth management, directly engaging with how frontier AI models inform portfolio construction and financial planning.Who You AreA professional with over 5 years of experience as a Financial Advisor, Portfolio Manager, or Chief Investment Officer within a Registered Investment Advisor, private banking, or family office environment.Proficient in managing complex client relationships with significant assets under management.
About Us: At Mentis AI, we stand at the forefront of the intersection between innovative AI systems and institutional finance. Our dedicated team boasts extensive experience from prominent firms such as Lazard and Partners Group, integrating deep financial services expertise with cutting-edge machine learning and AI research. Operating from our key locations in London and San Francisco, we collaborate with leading AI laboratories to enhance the reasoning, generalization, and decision-making capabilities of models in high-stakes financial scenarios.The Opportunity: With the rapid integration of AI into core real estate investment processes—spanning acquisitions, underwriting, asset management, debt structuring, and fund-level reporting—this residency is tailored for institutional real estate private equity (REPE) professionals eager to gain firsthand experience in the development, evaluation, and enhancement of advanced AI systems within the context of REPE investing across various property types and risk profiles.Key Responsibilities:Develop Expert Benchmarks: Construct and validate real-world underwriting models, return analyses, and investment cases to assess frontier AI systems.Stress-Test Model Reasoning: Identify weaknesses in AI-generated real estate analyses, pinpointing logical flaws, erroneous assumptions, or lapses in market intuition.Design Analytical Frameworks: Transform how REPE professionals evaluate acquisitions, structure transactions, and manage assets throughout the investment lifecycle into challenges that stretch AI reasoning capabilities.Assess Human vs. Machine Judgment: Conduct systematic evaluations of the disparities between professional real estate judgment and AI outputs across varying asset classes, risk profiles, and fund structures.Why This Experience Matters:Be among the pioneering real estate investment professionals to engage directly with how frontier AI models assess acquisitions, underwriting, and asset management.Cultivate a unique professional profile positioned at the confluence of real estate and AI—ideal for roles within funds, AI companies, or entrepreneurial ventures.Gain practical insights into how AI is transforming real estate workflows, from deal screening and underwriting to joint venture structuring, asset management, and LP reporting.
About Us: At Mentis AI, we are pioneering the integration of institutional finance expertise with cutting-edge AI systems. Our dynamic team draws from extensive experience in financial services, including prestigious firms like Lazard and Partners Group, coupled with a strong foundation in machine learning and applied AI research. With operations spanning London and San Francisco, we partner with leading AI laboratories to enhance the reasoning, generalization, and decision-making capabilities of models in high-stakes financial environments.The Opportunity: As AI increasingly transforms the private credit landscape—from initial underwriting and credit approval to facility structuring and ongoing portfolio monitoring—this part-time residency offers direct lending and private credit professionals a unique opportunity to gain early, practical insight into the development, evaluation, and enhancement of advanced AI systems tailored for middle-market lending and credit fund operations.Your Responsibilities:Develop Expert Benchmarks: Construct and validate real-world credit analyses, underwriting scenarios, and portfolio monitoring frameworks to assess frontier AI systems.Stress-Test Model Reasoning: Identify weaknesses in AI-generated credit analyses by diagnosing failures in logic, assumptions, or underwriting intuition.Framework Design: Translate the methods credit professionals use to evaluate borrowers, structure facilities, and monitor middle-market entities into challenges that test the limits of AI reasoning.Assess Human vs. Machine Judgment: Systematically analyze discrepancies between professional credit evaluations and AI outputs across direct lending, unitranche, and structured credit contexts.Why This Experience Matters:You will be among the pioneering private credit professionals to engage directly with how frontier AI models reason about credit underwriting, deal structuring, and portfolio management.This role offers a unique profile for individuals looking to bridge the gap between private credit and AI, whether at a credit fund, an AI company, or through entrepreneurial ventures.Gain hands-on experience with the transformative impact of AI on credit workflows, encompassing underwriting, covenant analysis, loan documentation, portfolio oversight, and amendment processes.
Join Anthropic as a Research Engineer focusing on Economic Research. In this role, you will leverage your analytical skills to conduct in-depth economic analysis and contribute to innovative projects aimed at enhancing our understanding of economic models and their implications.
Full-time|Remote|Remote — San Francisco, California, United States
Join futuresight as an Entrepreneur in Residence, where you'll have the unique opportunity to develop innovative solutions and lead groundbreaking initiatives. This role is designed for visionary leaders who aspire to shape the future of our organization and potentially step into a CEO or Founder position. You will collaborate with a dynamic team, leverage your entrepreneurial spirit, and contribute to the strategic direction of our company.
Join Cloudflare as a Resident Consultant in our Professional Services team, where you will play a pivotal role in helping clients leverage our cutting-edge technology. In this hybrid position, you will collaborate with various stakeholders to provide strategic insights and solutions tailored to client needs.
About the TeamJoin the innovative Post-Training team at OpenAI, where we focus on refining and elevating pre-trained models for deployment in ChatGPT, our API, and future products. Collaborating closely with various research and product teams, we conduct crucial research that prepares our models for real-world deployment to millions of users, ensuring they are safe, efficient, and reliable.About the RoleAs a Research Engineer / Scientist, you will spearhead the research and development of enhancements to our models. Our work intersects reinforcement learning and product development, aiming to create cutting-edge solutions.We seek passionate individuals with robust machine learning engineering skills and research experience, particularly with innovative and powerful models. The ideal candidate will be driven by a commitment to product-oriented research.This position is located in San Francisco, CA, and follows a hybrid work model requiring three days in the office each week. Relocation assistance is available for new employees.In this role, you will:Lead and execute a research agenda aimed at enhancing model capabilities and performance.Work collaboratively with research and product teams to empower customers to optimize their models.Develop robust evaluation frameworks to monitor and assess modeling advancements.Design, implement, test, and debug code across our research stack.You may excel in this role if you:Possess a deep understanding of machine learning and its applications.Have experience with relevant models and methodologies for evaluating model improvements.Are adept at navigating large ML codebases for debugging purposes.Thrive in a fast-paced and technically intricate environment.About OpenAIOpenAI is a pioneering AI research and deployment organization dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We are committed to pushing the boundaries of AI capabilities while prioritizing safety and human-centric values in our products. Our mission is to embrace diverse perspectives, voices, and experiences that represent the full spectrum of humanity, as we strive for a future where AI is a powerful ally for everyone.
About Our TeamJoin the forefront of AI innovation with the RL and Reasoning team at OpenAI. Our team is dedicated to advancing reinforcement learning research and has pioneered transformative projects, including o1 and o3. We are committed to pushing the limits of generative models while ensuring their scalable deployment.About the RoleAs a Research Engineer/Research Scientist at OpenAI, you will play a pivotal role in enhancing AI alignment and capabilities through state-of-the-art reinforcement learning techniques. Your contributions will be essential in training intelligent, aligned, and versatile agents that power various AI models.We seek individuals with a solid foundation in reinforcement learning research, agile coding skills, and a passion for rapid iteration.This position is located in San Francisco, CA, and follows a hybrid work model of three days in the office per week. We also provide relocation assistance for new hires.You may excel in this role if:You are enthusiastic about being at the cutting edge of RL and language model research.You take initiative, owning ideas and driving them to fruition.You value principled methodologies, conducting simple experiments in controlled environments to draw trustworthy conclusions.You thrive in a fast-paced, complex technical environment where rapid iteration is essential.You are adept at navigating extensive ML codebases to troubleshoot and enhance them.You possess a profound understanding of machine learning and its applications.About OpenAIOpenAI is a pioneering AI research and deployment organization committed to ensuring that general-purpose artificial intelligence serves the greater good for humanity. We strive to push the boundaries of AI system capabilities while prioritizing safe deployment through our innovative products. We recognize AI as a powerful tool that must be developed with safety and human-centric principles, embracing diverse perspectives to reflect the full spectrum of humanity.We are proud to be an equal opportunity employer, welcoming applicants from all backgrounds without discrimination based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic.
Location: Remote (U.S. or Canada) Type: US Applicants – Full-Time; Canadian Applicants – Independent Contractor About Human Agency At Human Agency, we are rapidly scaling and actively seeking exceptional talent to drive our growth. Our mission is to attract diverse individuals, from creative producers to technical experts and entrepreneurial leaders, to help us navigate this exciting chapter of development. We pride ourselves on being a company of doers. We foster a culture where leaders are hands-on, teams operate collaboratively, and every voice matters. Here, titles don't shield anyone from feedback; instead, we welcome constructive critique, learn swiftly, and continuously elevate our standards. The most compelling ideas reign supreme, irrespective of their source, as our clients depend on us to provide the best outcomes consistently. The missions, products, and financial health of our clients are paramount. We immerse ourselves in their environments, acting as stewards of their objectives and partners in tackling significant challenges. Every strategy, product, or asset we develop must be aesthetically pleasing and pragmatically designed for real-world impact. Our workforce is our greatest asset, and we believe in growth through hiring individuals who challenge us to excel. Across our strategy, engineering, design, data, and operations teams, we seek collaborators who uplift our capabilities. Our hiring philosophy is simple: always aim higher, never settle. We collaborate with organizations of all sizes to explore, design, and implement AI strategies that prioritize security, scalability, and a human-centered approach. We stand firm in our belief that AI should enhance human potential rather than replace it, and we approach every engagement with that principle in mind. From advisory and tooling to implementation and education, we meet our clients where they are and assist them in integrating AI solutions that resonate with their missions and values. Our goal is to empower teams to work smarter, accelerate their pace, and unlock new possibilities through thoughtful and responsible innovation. Throughout this journey, we lead with purpose, passion, and a spirit of adventure. We engage in meaningful work alongside individuals we genuinely care about, ensuring that the experience is one worth embarking upon. At Human Agency, our identity and our work are inextricably linked. The Opportunity This role transcends the typical enterprise CISO position, as it does not involve inheriting outdated infrastructure, managing extensive teams, or maintaining the status quo. Instead, it offers a hands-on, entrepreneurial experience at the forefront of AI security. You will be responsible for designing innovative systems, addressing emerging industry challenges, and positioning security as a strategic advantage rather than a mere cost center. We are deploying AI agents at scale across client environments, developing our own AI-powered tools, and providing guidance to organizations on securely integrating autonomous systems into their missions.
Pluralis Research is at the forefront of Protocol Learning—an innovative decentralized approach to training and deploying AI models that democratizes access to this technology for individuals, rather than just large corporations. By aggregating computing resources from numerous contributors, incentivizing participation, and ensuring no single entity can dominate the model's complete weights, we are forging a truly open and collaborative pathway to cutting-edge AI.Role OverviewWe are seeking a passionate Developer Relations Lead to serve as the crucial technical liaison between Pluralis's research initiatives and the broader machine learning and systems communities. In this role, you will transform complex, groundbreaking research (including distributed training, communication-efficient model parallelism, and fault-tolerant optimization) into clear, engaging, and accessible content for researchers, engineers, and innovators.This position is not merely a traditional marketing role. We are looking for an individual who can digest our research papers, grasp the underlying architecture, and convey these insights effectively through blog posts, conference presentations, or social media updates. You will shape our technical narrative and become the face of Pluralis's contributions within the community.
abundant seeks a Research Lead based in San Francisco. This position steers research activities that help shape the company’s direction. The Research Lead partners with colleagues to analyze data, draw meaningful insights, and support projects where research has a clear business impact. Key responsibilities Plan, manage, and execute research initiatives from start to finish Work with team members to analyze data and spot important trends Turn research results into practical recommendations for the business Support projects that guide company strategy Collaboration and impact This role involves close teamwork and communication across departments. Research findings directly inform business decisions and contribute to the company’s ongoing growth.
OverviewBecome an integral part of our dynamic R&D team dedicated to developing fully automated research systems that push the boundaries of AI. Zochi has achieved a milestone by publishing the first entirely AI-generated A* conference paper. Locus has set a new industry standard as the first AI system to surpass human experts in AI R&D.Key ResponsibilitiesConceptualize and develop innovative architectures for automated research.Work collaboratively within a specialized team of researchers addressing cutting-edge challenges in long-horizon agentic capabilities, post-training for open-ended objectives, and environment crafting.Document and publish key internal findings alongside success stories from external collaborations.QualificationsPhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline. Outstanding candidates with significant research contributions are encouraged to apply, regardless of formal qualifications.Demonstrated history of impactful AI/ML research contributions in academic or corporate environments.Expertise in developing long-horizon, multi-agent systems and/or model post-training, especially in scientific domains or for open-ended discovery objectives.A strong passion for advancing problem-solving processes and scientific discovery, thriving in high-autonomy roles and environments.Our CultureCompetitive compensation and equity options.Unlimited Paid Time Off (PTO), emphasizing team collaboration and a community-focused workplace.Opportunities for conference participation and engagement in community initiatives.Empowered roles with high levels of responsibility.#1: We are a small, passionate team of leading investors, researchers, and industry experts committed to the mission of accelerating discovery. Join us.
OpenAI’s Safety Systems team is building a dedicated group to tackle misalignment risks in artificial general intelligence. This San Francisco-based team focuses on identifying, quantifying, and reducing ways AGI could act against human interests as the technology matures. The work centers on safeguarding society by proactively addressing these challenges. Research Focus Areas Worst-Case Demonstrations: Develop compelling examples that show how AI systems might fail, especially in scenarios where misaligned AGI could harm human priorities. Adversarial & Frontier Safety Evaluations: Build rigorous tests using these demonstrations to measure dangerous capabilities, such as deception or power-seeking behavior. System-Level Stress Testing: Create automated infrastructure to push product stacks to their limits, adapting tests as the systems evolve. Alignment Stress-Testing Research: Study where mitigations break down, share findings to inform strategy, and work with other research groups to improve safeguards. Role Overview This Senior Researcher position centers on AI safety and red-teaming. The role involves designing and running innovative attacks, supporting adversarial evaluations, and uncovering how safety measures can fail or be improved. Insights from this work help shape both product launches and long-term safety planning at OpenAI. Key Responsibilities Develop and execute worst-case demonstrations that clarify AGI alignment risks for stakeholders in high-impact situations. Create thorough adversarial and system-level evaluations based on these demonstrations, and help integrate them across the company. Design automated tools and frameworks to strengthen red-teaming and stress-testing efforts.
Join Anthropic as a Research Operations Specialist focused on Economic Research. In this role, you will facilitate the smooth execution of research projects and support our team in analyzing and interpreting economic data. Your contributions will play a crucial part in driving our mission to create safe and beneficial AI systems.
Full-time|$220K/yr - $220K/yr|On-site|San Francisco
The Perplexity Research Residency stands as our premier initiative designed to empower outstanding research talent from diverse fields to influence the future of artificial intelligence (AI). This program opens avenues for exceptional researchers, engineers, and analysts from disciplines outside traditional AI research to make significant contributions to the advancement of AI and its implications for users. We welcome applications from theoretical physicists, cognitive scientists, biochemists, quants, mathematicians, philosophers, and distinguished researchers in any other relevant field.For comprehensive details on the Perplexity Research Residency and the application process, please visit our program homepage. We encourage you to review the “What We’re Looking For” section for the specific criteria that will guide our selection of candidates.The annual cash compensation for this position is set at $220,000, prorated for a three-month term.
About Mentis AI Mentis AI brings together institutional finance expertise and advanced AI research. With offices in London and San Francisco, the team collaborates with top AI labs to improve model reasoning and decision-making for high-stakes financial scenarios. About the AI Residency This part-time residency is designed for experienced research analysts and portfolio managers in investment banking or capital markets. The program focuses on practical applications of advanced AI in real-world financial settings. Key Responsibilities Prompt Engineering: Develop and refine realistic prompts to test the relevance and quality of AI-generated insights. Comparative Analysis: Systematically compare human judgment and AI outputs in M&A, ECM, DCM, and leveraged finance contexts. Framework Development: Translate senior bankers' transaction evaluation and deal structuring methods into challenges that push AI reasoning. Benchmark Construction: Build and validate real-world transaction analyses and valuation frameworks to measure the performance of advanced AI systems. What Makes This Role Distinct See firsthand how AI is changing deal workflows, from pitchbooks to financial modeling and closing transactions. Shape how next-generation AI models approach transaction structuring, valuation, and capital markets execution as an investment banking professional.
About Us Mentis AI operates at the dynamic intersection of institutional investment expertise and cutting-edge AI technologies. Our dedicated team merges extensive asset management experience from industry leaders, including Lazard and Partners Group, with innovative machine learning and applied AI research. With locations in London and San Francisco, we partner with top AI laboratories to enhance model reasoning, generalization, and decision-making in critical financial scenarios.The Opportunity This part-time residency is tailored for senior research analysts and portfolio managers eager to gain valuable insights into the application of AI within the insurance domain. Here, you will experience firsthand the practical use of advanced AI systems.Key Responsibilities:Prompt Development: Create and refine realistic prompts intended for junior roles to assess the relevance and quality of AI-generated insights.Human vs. Machine Evaluation: Systematically analyze discrepancies between professional insurance judgments and AI outputs across investments, underwriting, and actuarial scenarios.Framework Design: Transform the methods used by insurance professionals to assess risk, price policies, manage general account portfolios, and model liabilities into challenges that push the boundaries of AI reasoning.Expert Benchmark Construction: Develop and validate practical underwriting cases, actuarial analyses, and investment frameworks utilized to evaluate leading-edge AI systems.Why This Experience Is ValuableGain hands-on exposure to how AI is revolutionizing insurance operations, from underwriting and pricing to portfolio management and capital modeling.Be at the forefront as one of the first insurance professionals engaged in exploring how frontier AI models analyze carrier operations, risk assessment, and insurance finance.Who You AreA professional with 4+ years of experience at a prominent Property & Casualty or Life insurance carrier.Holding an Associate or VP level position in one of the following functions:Investments: Managing fixed income or multi-asset portfolios within an insurance general account, with knowledge of ALM, duration matching, and regulatory capital constraints (RBC/Solvency II).Underwriting: Engaging in the underwriting process with a strong analytical approach.
About Us Mentis AI operates at the forefront of institutional finance and advanced AI, merging extensive experience in financial services with cutting-edge machine learning and AI research. Our teams, based in San Francisco and London, collaborate with top AI laboratories to enhance decision-making processes in critical financial situations.The Opportunity As AI technology increasingly integrates into essential insurance operations—from portfolio management to underwriting and regulatory assessments—this residency offers insurance professionals a unique chance to gain practical insights into the development, evaluation, and optimization of advanced AI systems within the insurance sector.Your responsibilities will include:Constructing Expert Benchmarks: Develop and validate real-world underwriting scenarios, actuarial evaluations, and investment strategies used for assessing advanced AI systems.Stress-Testing Model Reasoning: Identify and analyze weaknesses in AI-generated insurance evaluations, uncovering flaws in logic, assumptions, or domain understanding.Designing Frameworks: Transform how insurance experts assess risks, set policy prices, manage portfolios, and model liabilities into challenges that extend the boundaries of AI reasoning.Comparing Human vs. Machine Judgment: Rigorously assess the differences between professional insurance decisions and AI outputs in various contexts such as investments and underwriting.Why This Experience Is ValuableBe among the pioneers in the insurance field working directly on how advanced AI models interpret carrier operations and risk management.Enhance your profile if you aim to bridge the gap between insurance and AI, whether at an insurance company, AI firm, or as an entrepreneur.Gain hands-on experience with how AI is transforming insurance processes, from underwriting to pricing and capital modeling.Who You ArePossess 4+ years of experience at a prominent P&C or Life insurance company.Hold an Associate or VP role in areas such as underwriting, actuarial sciences, or portfolio management.
About Us Mentis AI operates at the confluence of institutional finance and cutting-edge AI technologies. Our dedicated team merges substantial financial services experience from institutions like Lazard and Partners Group with advanced machine learning and applied AI research. Based in both London and San Francisco, we partner with leading AI research laboratories to enhance model reasoning, generalization, and decision-making in high-stakes financial scenarios.The Opportunity The integration of AI into venture capital workflows is advancing rapidly, from deal sourcing and founder assessment to market evaluation, term sheet negotiation, and portfolio development. This part-time residency offers venture capital professionals the chance to gain practical insights into the construction, evaluation, and enhancement of advanced AI systems within the framework of early and growth-stage investments.Your ResponsibilitiesDevelop Expert Benchmarks: Create and validate real-world investment memoranda, market assessments, and frameworks for evaluating founders that are utilized to assess frontier AI systems.Analyze Model Reasoning: Identify weaknesses in AI-generated venture analyses, pinpointing gaps in logic, assumptions, or investment intuition.Create Evaluation Frameworks: Translate how venture capitalists assess founders, size markets, evaluate competitive landscapes, and build portfolios across various stages and sectors into challenges that test the limits of AI reasoning.Assess Human vs. Machine Judgment: Systematically compare discrepancies between professional venture assessments and AI-generated outputs across deal evaluation, term sheet formulation, and portfolio management environments.Why This Experience MattersBe among the first venture capital professionals to engage directly with how frontier AI models interpret early-stage investing, founder evaluation, and portfolio management.Establish a unique profile for those aiming to merge venture capital with AI, whether in a fund, at an AI startup, or in entrepreneurial ventures.Gain hands-on experience in how AI is transforming venture workflows, from sourcing and due diligence to writing investment memoranda, engaging with boards, and monitoring portfolios.Who You AreA professional with 4+ years of venture capital investing experience at a prestigious VC firm (e.g., Sequoia Capital, Andreessen Horowitz, Accel, Index Ventures).
About Us Mentis AI is pioneering the integration of advanced AI technologies within the realm of institutional finance. Our expert team draws from extensive backgrounds in financial services (including firms like Lazard and Partners Group) and specializes in cutting-edge machine learning and applied AI research. With offices in London and San Francisco, we partner with top AI laboratories to enhance model reasoning, generalization, and decision-making in crucial financial environments.The Opportunity As artificial intelligence transforms core wealth management processes—from portfolio construction to client communications and integrated advisory delivery—this part-time residency invites wealth management and private client specialists to gain invaluable, hands-on exposure to the development, evaluation, and enhancement of sophisticated AI systems tailored for high-net-worth advisory and family office investing.Your Responsibilities:Expert Benchmark Construction: Develop and validate real-world portfolio analyses, financial planning frameworks, and client advisory materials to assess frontier AI systems.Model Reasoning Stress Testing: Identify weaknesses in AI-generated wealth management analyses, pinpointing logical flaws, erroneous assumptions, or shortcomings in advisory intuition.Framework Design: Convert professional practices for building customized portfolios, selecting managers, addressing tax and estate considerations, and communicating investment rationale to sophisticated clientele into challenges that stretch AI reasoning capabilities.Human vs. Machine Judgment Comparison: Evaluate discrepancies between human advisory judgments and AI outputs, particularly in asset allocation, alternative investments, financial planning, and private client scenarios.Why This Experience Matters:You will be among the pioneering wealth management professionals contributing directly to the advancement of AI models relevant to portfolio construction, financial planning, and private client advisory services.This unique opportunity positions you at the intersection of wealth management and AI, valuable for roles in RIAs, private banks, AI firms, or for those aspiring to innovate in the space.Gain practical insights into how AI is transforming advisory workflows, from asset allocation and manager selection to tax-aware investing, estate planning, and client reporting.
About Us Mentis AI operates at the cutting edge of institutional investment and advanced AI systems. Our team merges extensive asset management knowledge from industry leaders with expertise in machine learning and AI research. With offices in London and San Francisco, we partner with top-tier AI laboratories to enhance how models analyze, generalize, and make decisions in critical financial scenarios.The Opportunity This residency program is tailored for seasoned research analysts and portfolio managers seeking invaluable experience in the evolving landscape of AI within wealth management. You'll gain hands-on exposure to cutting-edge AI systems while contributing to significant advancements in the field.Your ResponsibilitiesPrompt Development: Create and refine realistic prompts to assess the relevance and quality of AI-generated insights, simulating junior analyst inquiries.Human vs. AI Evaluation: Methodically compare discrepancies between professional advisory judgments and AI outputs in areas like asset allocation, alternatives, and financial planning.Framework Design: Translate practitioner strategies for portfolio construction, manager selection, and investment communication into challenges that test AI reasoning capabilities.Benchmark Construction: Develop and validate real-world portfolio analyses and advisory materials critical for evaluating frontier AI systems.Benefits of This ExperienceGain practical insights into how AI is revolutionizing advisory workflows, including investment strategies and client reporting.Be among the pioneers in wealth management, directly engaging with how frontier AI models inform portfolio construction and financial planning.Who You AreA professional with over 5 years of experience as a Financial Advisor, Portfolio Manager, or Chief Investment Officer within a Registered Investment Advisor, private banking, or family office environment.Proficient in managing complex client relationships with significant assets under management.
About Us: At Mentis AI, we stand at the forefront of the intersection between innovative AI systems and institutional finance. Our dedicated team boasts extensive experience from prominent firms such as Lazard and Partners Group, integrating deep financial services expertise with cutting-edge machine learning and AI research. Operating from our key locations in London and San Francisco, we collaborate with leading AI laboratories to enhance the reasoning, generalization, and decision-making capabilities of models in high-stakes financial scenarios.The Opportunity: With the rapid integration of AI into core real estate investment processes—spanning acquisitions, underwriting, asset management, debt structuring, and fund-level reporting—this residency is tailored for institutional real estate private equity (REPE) professionals eager to gain firsthand experience in the development, evaluation, and enhancement of advanced AI systems within the context of REPE investing across various property types and risk profiles.Key Responsibilities:Develop Expert Benchmarks: Construct and validate real-world underwriting models, return analyses, and investment cases to assess frontier AI systems.Stress-Test Model Reasoning: Identify weaknesses in AI-generated real estate analyses, pinpointing logical flaws, erroneous assumptions, or lapses in market intuition.Design Analytical Frameworks: Transform how REPE professionals evaluate acquisitions, structure transactions, and manage assets throughout the investment lifecycle into challenges that stretch AI reasoning capabilities.Assess Human vs. Machine Judgment: Conduct systematic evaluations of the disparities between professional real estate judgment and AI outputs across varying asset classes, risk profiles, and fund structures.Why This Experience Matters:Be among the pioneering real estate investment professionals to engage directly with how frontier AI models assess acquisitions, underwriting, and asset management.Cultivate a unique professional profile positioned at the confluence of real estate and AI—ideal for roles within funds, AI companies, or entrepreneurial ventures.Gain practical insights into how AI is transforming real estate workflows, from deal screening and underwriting to joint venture structuring, asset management, and LP reporting.
About Us: At Mentis AI, we are pioneering the integration of institutional finance expertise with cutting-edge AI systems. Our dynamic team draws from extensive experience in financial services, including prestigious firms like Lazard and Partners Group, coupled with a strong foundation in machine learning and applied AI research. With operations spanning London and San Francisco, we partner with leading AI laboratories to enhance the reasoning, generalization, and decision-making capabilities of models in high-stakes financial environments.The Opportunity: As AI increasingly transforms the private credit landscape—from initial underwriting and credit approval to facility structuring and ongoing portfolio monitoring—this part-time residency offers direct lending and private credit professionals a unique opportunity to gain early, practical insight into the development, evaluation, and enhancement of advanced AI systems tailored for middle-market lending and credit fund operations.Your Responsibilities:Develop Expert Benchmarks: Construct and validate real-world credit analyses, underwriting scenarios, and portfolio monitoring frameworks to assess frontier AI systems.Stress-Test Model Reasoning: Identify weaknesses in AI-generated credit analyses by diagnosing failures in logic, assumptions, or underwriting intuition.Framework Design: Translate the methods credit professionals use to evaluate borrowers, structure facilities, and monitor middle-market entities into challenges that test the limits of AI reasoning.Assess Human vs. Machine Judgment: Systematically analyze discrepancies between professional credit evaluations and AI outputs across direct lending, unitranche, and structured credit contexts.Why This Experience Matters:You will be among the pioneering private credit professionals to engage directly with how frontier AI models reason about credit underwriting, deal structuring, and portfolio management.This role offers a unique profile for individuals looking to bridge the gap between private credit and AI, whether at a credit fund, an AI company, or through entrepreneurial ventures.Gain hands-on experience with the transformative impact of AI on credit workflows, encompassing underwriting, covenant analysis, loan documentation, portfolio oversight, and amendment processes.
Join Anthropic as a Research Engineer focusing on Economic Research. In this role, you will leverage your analytical skills to conduct in-depth economic analysis and contribute to innovative projects aimed at enhancing our understanding of economic models and their implications.
Full-time|Remote|Remote — San Francisco, California, United States
Join futuresight as an Entrepreneur in Residence, where you'll have the unique opportunity to develop innovative solutions and lead groundbreaking initiatives. This role is designed for visionary leaders who aspire to shape the future of our organization and potentially step into a CEO or Founder position. You will collaborate with a dynamic team, leverage your entrepreneurial spirit, and contribute to the strategic direction of our company.
Join Cloudflare as a Resident Consultant in our Professional Services team, where you will play a pivotal role in helping clients leverage our cutting-edge technology. In this hybrid position, you will collaborate with various stakeholders to provide strategic insights and solutions tailored to client needs.
About the TeamJoin the innovative Post-Training team at OpenAI, where we focus on refining and elevating pre-trained models for deployment in ChatGPT, our API, and future products. Collaborating closely with various research and product teams, we conduct crucial research that prepares our models for real-world deployment to millions of users, ensuring they are safe, efficient, and reliable.About the RoleAs a Research Engineer / Scientist, you will spearhead the research and development of enhancements to our models. Our work intersects reinforcement learning and product development, aiming to create cutting-edge solutions.We seek passionate individuals with robust machine learning engineering skills and research experience, particularly with innovative and powerful models. The ideal candidate will be driven by a commitment to product-oriented research.This position is located in San Francisco, CA, and follows a hybrid work model requiring three days in the office each week. Relocation assistance is available for new employees.In this role, you will:Lead and execute a research agenda aimed at enhancing model capabilities and performance.Work collaboratively with research and product teams to empower customers to optimize their models.Develop robust evaluation frameworks to monitor and assess modeling advancements.Design, implement, test, and debug code across our research stack.You may excel in this role if you:Possess a deep understanding of machine learning and its applications.Have experience with relevant models and methodologies for evaluating model improvements.Are adept at navigating large ML codebases for debugging purposes.Thrive in a fast-paced and technically intricate environment.About OpenAIOpenAI is a pioneering AI research and deployment organization dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We are committed to pushing the boundaries of AI capabilities while prioritizing safety and human-centric values in our products. Our mission is to embrace diverse perspectives, voices, and experiences that represent the full spectrum of humanity, as we strive for a future where AI is a powerful ally for everyone.
About Our TeamJoin the forefront of AI innovation with the RL and Reasoning team at OpenAI. Our team is dedicated to advancing reinforcement learning research and has pioneered transformative projects, including o1 and o3. We are committed to pushing the limits of generative models while ensuring their scalable deployment.About the RoleAs a Research Engineer/Research Scientist at OpenAI, you will play a pivotal role in enhancing AI alignment and capabilities through state-of-the-art reinforcement learning techniques. Your contributions will be essential in training intelligent, aligned, and versatile agents that power various AI models.We seek individuals with a solid foundation in reinforcement learning research, agile coding skills, and a passion for rapid iteration.This position is located in San Francisco, CA, and follows a hybrid work model of three days in the office per week. We also provide relocation assistance for new hires.You may excel in this role if:You are enthusiastic about being at the cutting edge of RL and language model research.You take initiative, owning ideas and driving them to fruition.You value principled methodologies, conducting simple experiments in controlled environments to draw trustworthy conclusions.You thrive in a fast-paced, complex technical environment where rapid iteration is essential.You are adept at navigating extensive ML codebases to troubleshoot and enhance them.You possess a profound understanding of machine learning and its applications.About OpenAIOpenAI is a pioneering AI research and deployment organization committed to ensuring that general-purpose artificial intelligence serves the greater good for humanity. We strive to push the boundaries of AI system capabilities while prioritizing safe deployment through our innovative products. We recognize AI as a powerful tool that must be developed with safety and human-centric principles, embracing diverse perspectives to reflect the full spectrum of humanity.We are proud to be an equal opportunity employer, welcoming applicants from all backgrounds without discrimination based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic.
Location: Remote (U.S. or Canada) Type: US Applicants – Full-Time; Canadian Applicants – Independent Contractor About Human Agency At Human Agency, we are rapidly scaling and actively seeking exceptional talent to drive our growth. Our mission is to attract diverse individuals, from creative producers to technical experts and entrepreneurial leaders, to help us navigate this exciting chapter of development. We pride ourselves on being a company of doers. We foster a culture where leaders are hands-on, teams operate collaboratively, and every voice matters. Here, titles don't shield anyone from feedback; instead, we welcome constructive critique, learn swiftly, and continuously elevate our standards. The most compelling ideas reign supreme, irrespective of their source, as our clients depend on us to provide the best outcomes consistently. The missions, products, and financial health of our clients are paramount. We immerse ourselves in their environments, acting as stewards of their objectives and partners in tackling significant challenges. Every strategy, product, or asset we develop must be aesthetically pleasing and pragmatically designed for real-world impact. Our workforce is our greatest asset, and we believe in growth through hiring individuals who challenge us to excel. Across our strategy, engineering, design, data, and operations teams, we seek collaborators who uplift our capabilities. Our hiring philosophy is simple: always aim higher, never settle. We collaborate with organizations of all sizes to explore, design, and implement AI strategies that prioritize security, scalability, and a human-centered approach. We stand firm in our belief that AI should enhance human potential rather than replace it, and we approach every engagement with that principle in mind. From advisory and tooling to implementation and education, we meet our clients where they are and assist them in integrating AI solutions that resonate with their missions and values. Our goal is to empower teams to work smarter, accelerate their pace, and unlock new possibilities through thoughtful and responsible innovation. Throughout this journey, we lead with purpose, passion, and a spirit of adventure. We engage in meaningful work alongside individuals we genuinely care about, ensuring that the experience is one worth embarking upon. At Human Agency, our identity and our work are inextricably linked. The Opportunity This role transcends the typical enterprise CISO position, as it does not involve inheriting outdated infrastructure, managing extensive teams, or maintaining the status quo. Instead, it offers a hands-on, entrepreneurial experience at the forefront of AI security. You will be responsible for designing innovative systems, addressing emerging industry challenges, and positioning security as a strategic advantage rather than a mere cost center. We are deploying AI agents at scale across client environments, developing our own AI-powered tools, and providing guidance to organizations on securely integrating autonomous systems into their missions.
Pluralis Research is at the forefront of Protocol Learning—an innovative decentralized approach to training and deploying AI models that democratizes access to this technology for individuals, rather than just large corporations. By aggregating computing resources from numerous contributors, incentivizing participation, and ensuring no single entity can dominate the model's complete weights, we are forging a truly open and collaborative pathway to cutting-edge AI.Role OverviewWe are seeking a passionate Developer Relations Lead to serve as the crucial technical liaison between Pluralis's research initiatives and the broader machine learning and systems communities. In this role, you will transform complex, groundbreaking research (including distributed training, communication-efficient model parallelism, and fault-tolerant optimization) into clear, engaging, and accessible content for researchers, engineers, and innovators.This position is not merely a traditional marketing role. We are looking for an individual who can digest our research papers, grasp the underlying architecture, and convey these insights effectively through blog posts, conference presentations, or social media updates. You will shape our technical narrative and become the face of Pluralis's contributions within the community.
abundant seeks a Research Lead based in San Francisco. This position steers research activities that help shape the company’s direction. The Research Lead partners with colleagues to analyze data, draw meaningful insights, and support projects where research has a clear business impact. Key responsibilities Plan, manage, and execute research initiatives from start to finish Work with team members to analyze data and spot important trends Turn research results into practical recommendations for the business Support projects that guide company strategy Collaboration and impact This role involves close teamwork and communication across departments. Research findings directly inform business decisions and contribute to the company’s ongoing growth.
OverviewBecome an integral part of our dynamic R&D team dedicated to developing fully automated research systems that push the boundaries of AI. Zochi has achieved a milestone by publishing the first entirely AI-generated A* conference paper. Locus has set a new industry standard as the first AI system to surpass human experts in AI R&D.Key ResponsibilitiesConceptualize and develop innovative architectures for automated research.Work collaboratively within a specialized team of researchers addressing cutting-edge challenges in long-horizon agentic capabilities, post-training for open-ended objectives, and environment crafting.Document and publish key internal findings alongside success stories from external collaborations.QualificationsPhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline. Outstanding candidates with significant research contributions are encouraged to apply, regardless of formal qualifications.Demonstrated history of impactful AI/ML research contributions in academic or corporate environments.Expertise in developing long-horizon, multi-agent systems and/or model post-training, especially in scientific domains or for open-ended discovery objectives.A strong passion for advancing problem-solving processes and scientific discovery, thriving in high-autonomy roles and environments.Our CultureCompetitive compensation and equity options.Unlimited Paid Time Off (PTO), emphasizing team collaboration and a community-focused workplace.Opportunities for conference participation and engagement in community initiatives.Empowered roles with high levels of responsibility.#1: We are a small, passionate team of leading investors, researchers, and industry experts committed to the mission of accelerating discovery. Join us.
OpenAI’s Safety Systems team is building a dedicated group to tackle misalignment risks in artificial general intelligence. This San Francisco-based team focuses on identifying, quantifying, and reducing ways AGI could act against human interests as the technology matures. The work centers on safeguarding society by proactively addressing these challenges. Research Focus Areas Worst-Case Demonstrations: Develop compelling examples that show how AI systems might fail, especially in scenarios where misaligned AGI could harm human priorities. Adversarial & Frontier Safety Evaluations: Build rigorous tests using these demonstrations to measure dangerous capabilities, such as deception or power-seeking behavior. System-Level Stress Testing: Create automated infrastructure to push product stacks to their limits, adapting tests as the systems evolve. Alignment Stress-Testing Research: Study where mitigations break down, share findings to inform strategy, and work with other research groups to improve safeguards. Role Overview This Senior Researcher position centers on AI safety and red-teaming. The role involves designing and running innovative attacks, supporting adversarial evaluations, and uncovering how safety measures can fail or be improved. Insights from this work help shape both product launches and long-term safety planning at OpenAI. Key Responsibilities Develop and execute worst-case demonstrations that clarify AGI alignment risks for stakeholders in high-impact situations. Create thorough adversarial and system-level evaluations based on these demonstrations, and help integrate them across the company. Design automated tools and frameworks to strengthen red-teaming and stress-testing efforts.
Join Anthropic as a Research Operations Specialist focused on Economic Research. In this role, you will facilitate the smooth execution of research projects and support our team in analyzing and interpreting economic data. Your contributions will play a crucial part in driving our mission to create safe and beneficial AI systems.
Mar 16, 2026
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