Senior Researcher in Misalignment Research

About Our TeamAt OpenAI, our Safety Systems team is dedicated to advancing the mission of developing and deploying safe artificial general intelligence (AGI). We are establishing a specialized research team focused on identifying and addressing critical misalignment issues that may arise as AGI technology evolves. Our goal is to proactively quantify and miti…

Join aiedu as a Senior Lead in Research & Evaluation, where you will drive impactful research initiatives that shape educational practices and policies. In this role, you will lead a team of researchers in designing and executing comprehensive evaluations that inform our strategic direction. Your expertise will be critical in analyzing data, generating insights, and communicating findings to stakeholders.

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.

About SunoAt Suno, we are revolutionizing the way original music is created and discovered. Our innovative platform features Suno Studio, a cutting-edge generative audio workstation, and Hooks, an exciting new method for creating and sharing captivating videos that bring music to life. Fueled by a leading music-creation model, our platform empowers individuals to turn their inspiration into music, making creativity accessible to all. With Suno, your ideas transform into sound, and every song is uniquely yours — allowing everyone to experience the joy of creation.Recognized as one of the fastest-growing AI startups globally, we are supported by prestigious investors including Menlo Ventures, Lightspeed Venture Partners, Matrix, NVentures, and Hallwood Media.Founded in 2023 by passionate Harvard alumni, Suno has already empowered over 100 million users to craft their original songs. In 2025, we successfully raised a $250 million Series C funding round to fuel our product innovation and accelerate our international expansion.About the RoleWe are seeking a dedicated Senior Qualitative UX Researcher to champion the voice of the user within Suno's diverse user base, particularly focusing on our power users and professional creators. In this role, you will delve into how musicians and serious creators engage with Suno, identifying what captivates them and what gaps need to be filled. You will collaborate closely with Product Managers, designers, and engineers, ensuring user feedback is integrated into product development from the ground up.As part of our agile teams, you will be responsible for planning, executing, and synthesizing research swiftly, aligning with the dynamic pace of our product organization. We value timely insights that can directly influence decision-making, so this opportunity is perfect for those who thrive in a high-ownership, fast-paced environment.Explore the song we created about this role: https://suno.com/s/6utW9leBXUGxAVqBWhat You’ll DoConduct comprehensive qualitative research — including interviews, usability tests, and diary studies — across mobile, web, and platform experiences.Create and distribute surveys that complement qualitative insights, providing necessary validation for research hypotheses.Work collaboratively with Product, Design, and Engineering teams to define research objectives, identify key learning goals, and quickly transform findings into actionable recommendations.Deliver research outcomes promptly to inform product development decisions.

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.

About StravaStrava is the ultimate app for active individuals, boasting a community of over 180 million athletes across more than 185 countries. More than just a fitness tracker, Strava is a platform where people come together to achieve their goals, from forming new habits to breaking personal records. Whether you're into cycling, running, or any other sport, Strava is your go-to app. Join us and embark on your journey with Strava today.Our mission is straightforward: to inspire people to lead their most active lives. We believe in the transformative power of movement to connect and propel individuals forward.About This RoleThe Research & Insights team at Strava is dedicated to guiding user-centered decision-making that drives our business and product innovation. We convert user signals into strategic insights, validating opportunities and creating experiences that empower our users to thrive, ensuring they remain loyal members of the Strava community.We are seeking a Senior UX/Product Researcher to spearhead the comprehensive research program for User Lifecycle. The User Lifecycle team is responsible for the entire Strava membership experience, from the first app download to lifelong community engagement. Your role will involve collaborating with cross-functional teams to conduct impactful research that informs product strategy and ensures decisions are grounded in data-driven insights. You will report directly to the Director of Research and Insights.What You’ll Do:Collaborate with stakeholders and the research team to identify, prioritize, and lead research initiatives that significantly impact company and product strategy, user satisfaction, and overall business outcomes.Lead high-impact research projects while working closely with cross-functional partners, including Design, Product Management, Data Science, Engineering, and Marketing.Identify optimal methods for sharing research insights, establishing trust-based relationships with colleagues to foster collaboration and innovation. You will influence cross-functional partners to act on research findings by providing clear, actionable recommendations and relevant business context.Embrace a diversity of perspectives while maintaining a strong personal viewpoint that effectively cuts through complexity.

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.

Join Cloudflare as a Senior Research Manager, where you'll lead innovative research initiatives that shape the future of internet security. As a pivotal member of our team, you will be responsible for driving strategic research projects, collaborating with cross-functional teams, and leveraging data insights to enhance our product offerings. Your leadership will guide the research direction and ensure alignment with our company goals.

Join the Center for AI Safety (CAIS), a premier research and advocacy organization dedicated to addressing the complex societal challenges posed by artificial intelligence (AI). Our mission focuses on mitigating large-scale risks associated with AI through groundbreaking technical research, strategic initiatives, and proactive policy engagement, in collaboration with our sister organization, the Center for AI Safety Action Fund. As a Senior Research Scientist at CAIS, you will spearhead and execute transformative research aimed at enhancing the safety and reliability of advanced AI systems. You will take ownership of significant open challenges, driving them to successful publication. We seek individuals who set a high standard for research excellence and contribute innovative ideas to elevate our collective understanding. Your role will involve designing and conducting experiments on large language models, developing the necessary tools for large-scale model training and evaluation, and translating findings into publishable research. Close collaboration with CAIS researchers and external academic and industry partners will be essential, utilizing our compute cluster for extensive training and evaluation projects. Research areas include AI honesty, robustness, transparency, and mitigating trojan/backdoor behaviors, all geared towards reducing real-world risks from sophisticated AI systems.

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.

About Our TeamThe Alignment Training team at OpenAI focuses on understanding how advanced models develop lasting behavioral patterns throughout the training process. We investigate which behaviors can be influenced during the pre-training, mid-training, and post-training phases; create the necessary data, objectives, and evaluations to guide these behaviors; and assess whether the resulting actions represent a general capability or a byproduct of the training environment.Our research encompasses synthetic data development, various training stages, model behavior analysis, and performance evaluation. We explore how models grasp user intentions, adhere to instructions, reason effectively, demonstrate honesty, and maintain reliability in novel situations. Our ultimate aim is to foster desirable behaviors early in training, reinforce them throughout, and ensure their consistency in real-world applications.About This PositionWe are seeking a seasoned researcher with profound expertise in large-scale model training, synthetic data creation, or evaluation processes, who is passionate about exploring how training decisions influence aligned behaviors in state-of-the-art models.In this role, you will define the research agenda for alignment training: outlining the behaviors we aspire for models to acquire, designing data and training strategies to cultivate them, and developing evaluation mechanisms to verify the breadth, strength, and durability of those behaviors. The ideal candidate will excel at translating vague behavioral inquiries into structured experimental plans: devising hypotheses, creating interventions, establishing pipelines, conducting experiments, and analyzing results for authenticity.This position is particularly suited for individuals eager to engage closely with the core model training framework, where decisions regarding data, objectives, and evaluations critically influence the alignment of deployed systems.Key Responsibilities:Innovate synthetic data methods that instill higher-level behavioral tendencies in models, such as comprehending user intent, consistently following instructions, clear reasoning, honesty, and alignment with defined goals and constraints.Analyze the impact of pre-training, mid-training, and post-training on subsequent model behavior, identifying the most effective interventions for each phase.Develop evaluation loops that link model behavior back to training data and objectives, enabling quicker iterations and clearer feedback.

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.

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.

Join Our Innovative TeamAt OpenAI, our Alignment team is committed to building AI systems that prioritize safety, trustworthiness, and alignment with human values, even as these systems evolve and grow in complexity. We are at the forefront of AI research, developing advanced methodologies to ensure that AI adheres to human intent across diverse scenarios, including high-stakes and adversarial environments. Our focus is on tackling the most critical challenges, addressing areas where AI can have profound impacts. By quantifying risks and making meaningful improvements, we aim to prepare our models for the complexities of real-world applications.Our approach is built on two foundational pillars: (1) integrating enhanced capabilities into alignment, ensuring our techniques evolve positively with increasing capabilities, and (2) centering human input through the development of mechanisms that allow humans to communicate their intent and effectively monitor AI systems, even in intricate situations.Your Role in Shaping the FutureAs a Research Engineer / Scientist on our Alignment team, you will play a pivotal role in ensuring our AI systems align with human intent in complex and unpredictable contexts. Your responsibilities will include designing and implementing scalable solutions that maintain alignment as AI capabilities expand, while incorporating human oversight into AI decision-making processes.This position is based in San Francisco, CA, and follows a hybrid work model of three days in the office each week. We also offer relocation assistance to new team members.Key Responsibilities:Develop and assess alignment capabilities that are context-sensitive, subjective, and challenging to quantify.Create evaluations to accurately measure risks and alignment with human values and intentions.Construct tools and evaluations to examine model robustness across various scenarios.Design experiments to explore how alignment scales with compute resources, data, context lengths, actions, and adversarial influences.Innovate new Human-AI interaction frameworks and scalable supervision methods that enhance human engagement and understanding of AI systems.

About EliseAIEliseAI is at the forefront of revolutionizing critical sectors like housing and healthcare. Everyone deserves a secure place to live and access to high-quality medical care, yet these essentials can often be difficult to obtain. By seamlessly integrating AI agents into existing workflows, we enhance efficiency, lower costs, and elevate the overall user experience.Housing: We simplify the rental process, enabling users to tour apartments, sign leases, submit maintenance requests, and maintain communication with property management—all within one convenient platform.Healthcare: Our solutions streamline appointment scheduling, intake form completion, and patient-provider communications, allowing individuals to prioritize their health over administrative tasks.At EliseAI, we empower organizations to minimize manual labor, enhance accessibility, and provide a cohesive experience in vital services. We recently secured a $250 million Series E funding round led by Andreessen Horowitz to further accelerate our mission.About The RoleWe are looking for exceptional Machine Learning experts to join our expansive research team. Ideal candidates will possess remarkable mathematical and quantitative abilities, strong programming skills, and impressive academic backgrounds—such as mathematicians, theoretical physicists, or computer scientists—who are eager to apply their knowledge to tackle real-world problems.In this role, you will engage with advanced topics in machine learning and large language models, develop predictive algorithms to enhance our AI functionalities, and conduct systematic analyses on substantial datasets. As a Senior Research Scientist, you will lead comprehensive research projects that drive the evolution of EliseAI’s core models, and we expect you to influence the company's research direction. If you are passionate about utilizing your academic expertise in a vibrant startup culture, we would love to hear from you.Key ResponsibilitiesIdentify critical questions in tenant engagement, conversational AI, and LLM safety, transforming them into structured projects.Design and execute experiments, develop prototypes, and implement large-scale studies to validate hypotheses.

Join OpenAI as a Research Scientist and explore cutting-edge machine learning innovations. In this role, you will be at the forefront of developing groundbreaking techniques while advancing our team's research initiatives. Collaborate with talented peers across various teams to discover transformative ideas that scale effectively. We seek individuals who are passionate about pushing the boundaries of AI and want to contribute to our unified research vision.

Join Cloudflare as a Research Manager and play a pivotal role in driving innovative research initiatives that enhance our security and performance solutions. You will lead a team of skilled researchers, collaborating closely with cross-functional teams to identify market trends and develop groundbreaking strategies that align with our business objectives.Your responsibilities will include overseeing research projects from inception to completion, analyzing data to derive actionable insights, and presenting findings to stakeholders. You will foster a culture of creativity and critical thinking, ensuring that our research efforts remain at the forefront of industry standards.

About HandshakeHandshake is the premier career network tailored for the AI economy, connecting 20 million skilled professionals with over 1,600 educational institutions and 1 million employers, including every Fortune 50 company. Our platform empowers career discovery, recruitment, and skill enhancement, facilitating everything from freelance AI training opportunities to internships and full-time roles. Our unique value proposition has catalyzed exceptional growth, and we anticipate tripling our ARR by 2025.Why join Handshake now:Influence the evolution of careers in the AI landscape on a global scale, creating visible and meaningful impacts for your community.Collaborate closely with leading AI labs, Fortune 500 partners, and top-tier educational institutions.Become part of a team led by experts from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others.Play a crucial role in building a rapidly expanding enterprise with substantial revenue potential.The RoleAt Handshake AI, we are innovating a new generation of human-data products—from expert annotation platforms to AI interviewers and seamless payment infrastructures—designed to streamline research and enhance model efficacy. As AI models advance, the need for specialized human input is surging, and Handshake is uniquely equipped to cater to this demand. We support career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across diverse fields.We are seeking a strategic, impact-driven UX Researcher to help redefine the future of human data. In this role, you will contribute to the development of platforms utilized by real human experts to generate data for LLMs at leading AI labs.Your ResponsibilitiesLead comprehensive UX research initiatives that drive the development of Handshake AI's human data products, including expert onboarding processes, annotation workflows, evaluation tools, and internal operational systems.Monitor and analyze user sentiment, usability, and efficiency across systems to facilitate ongoing enhancements.Extract actionable insights from qualitative research and product analytics to inform design and strategic direction.Plan and execute both evaluative and generative research throughout the entire product lifecycle, from initial concepts to live applications.Provide swift, actionable insights that enhance user experience, product quality, and operational efficiency.