We are seeking a passionate and experienced User Research Manager to join our dynamic team at Plaud in San Francisco. In this pivotal role, you will be responsible for leading user research initiatives that inform product development and enhance user experiences. You will collaborate closely with cross-functional teams to design and execute research studies, analyze findings, and present actionable insights to drive decision-making.Your expertise will guide our understanding of user needs and behaviors, enabling us to create innovative solutions that resonate with our audience. If you have a knack for understanding users and a passion for leveraging research to impact product strategy, we want to hear from you!

Role Overview Prosper is looking for a User Experience Researcher in San Francisco. This position focuses on studying user behavior and improving digital products. Research findings will help shape design choices and influence product direction. What You Will Do Conduct qualitative and quantitative research to understand user needs and behaviors Share insights that guide design and product decisions Work closely with product and design teams to enhance user satisfaction Support product innovation by providing actionable research findings Location This role is based in San Francisco, CA.

Join Notion as a User Researcher focused on Growth and play a pivotal role in shaping the future of our product. You will be responsible for conducting user research, analyzing user feedback, and translating insights into actionable recommendations that drive product development and enhance user experience. Collaborate closely with cross-functional teams to ensure our growth strategies are informed by real user needs and behaviors.

At Superhuman, we embrace a hybrid working model that allows for both focused individual work and collaborative in-person meetings, fostering a culture of innovation, trust, and teamwork.About SuperhumanGrammarly is now a part of Superhuman, an AI-powered productivity platform dedicated to unlocking the superhuman potential within everyone. Our suite of applications seamlessly integrates with over a million tools and websites, offering solutions like Grammarly’s writing enhancement, Coda’s collaborative workspaces, Mail’s inbox management, and Go, our proactive AI assistant that understands context and provides automatic assistance. Since our founding in 2009, we have empowered over 40 million individuals, 50,000 organizations, and 3,000 educational institutions around the globe to eliminate tedious tasks and focus on what truly matters. Discover more at superhuman.com and learn about our values here.At Superhuman, we prioritize a human-centered approach, believing that AI should enhance human capabilities. Our success is measured not just by business metrics but also by the value we deliver to our users. We design with empathy, elevate human potential, and ensure our users' voices are at the forefront of our development efforts.The OpportunityThe Go team is responsible for Superhuman’s AI assistant and agent platform, aiming to make AI proactive and integrated throughout the Superhuman ecosystem. Our goal is to move beyond isolated chat applications, providing assistive AI directly within the tools our users already utilize, thereby connecting over a million applications and enterprise systems and maximizing the return on our AI investments.We are looking for a Staff User Researcher to shape the future of Go, focusing on how it delivers significant value to knowledge workers, scales across Superhuman Mail, Grammarly, Coda, and partner agents, and evolves into a differentiated, enterprise-ready AI layer.In this impactful role, you will spearhead foundational and strategic research that will influence Go’s long-term vision. You will work closely with executive and cross-functional leaders to identify key opportunities and define the research strategy of the business unit while advancing AI-centric research practices using our own platform and other innovative tools.

Superhuman embraces a dynamic hybrid work model, combining focused individual time with in-person collaboration that nurtures trust, innovation, and a robust team culture.About SuperhumanSuperhuman, now incorporating Grammarly, is an AI productivity platform dedicated to unleashing the superhuman potential in every individual. Our suite of applications seamlessly integrates with over 1 million tools and websites, providing solutions like Grammarly's writing assistance, Coda's collaborative workspaces, Mail's inbox management, and Go, the proactive AI assistant that understands context and offers support automatically. Established in 2009, Superhuman empowers more than 40 million users, 50,000 organizations, and 3,000 educational institutions globally to eliminate busywork and concentrate on what truly matters. Discover more at superhuman.com and explore our values here.The OpportunityJoin the Go team, responsible for Superhuman's AI assistant and agent platform, transforming AI into a proactive, connected feature integrated within the Superhuman ecosystem. Go transcends standalone chat, embedding assistive AI directly into the tools users already employ, thereby connecting with over 1 million applications and enterprise systems, enhancing the agent ecosystem, and turning AI investments into tangible ROI.We are looking for a Staff User Researcher to shape the future of Go, focusing on delivering significant value to knowledge workers, scaling across Superhuman Mail, Grammarly, Coda, and partner agents, and establishing a differentiated, enterprise-ready AI layer.In this impactful position, you will lead foundational and strategic research that influences Go’s long-term vision, collaborating with executive and cross-functional leaders to prioritize critical opportunities and define the business unit's research strategy while advancing AI-native research practices, including utilizing our platform and other innovative tools to enhance our workflows.Your responsibilities will include:Conducting exploratory and evaluative research to inform the strategy and roadmap for the Go platform.Identifying key user and business questions in a rapidly evolving AI landscape.Collaborating with executive and cross-functional leaders to translate insights into clear product direction.Converting complex findings into compelling narratives that guide decision-making.

Join amaehealth as the Head of Product Design & User Research, where your vision will shape the future of healthcare technology. In this pivotal role, you will lead a dynamic team that is dedicated to enhancing user experiences and driving innovation in product design.

Join the Center for AI Safety (CAIS), a pioneering research and advocacy organization dedicated to addressing the societal-scale risks posed by artificial intelligence. We tackle the most pressing challenges in AI through rigorous technical research, innovative field-building initiatives, and proactive policy engagement, in collaboration with our sister organization, the Center for AI Safety Action Fund.As a Research Scientist, you will spearhead and conduct transformative research aimed at enhancing the safety and dependability of cutting-edge AI systems. Your responsibilities will include designing and executing experiments on large language models, developing the necessary tools for training and evaluating models at scale, and converting your findings into publishable research. You will work closely with CAIS researchers and external partners from academia and industry, utilizing our compute cluster for large-scale model training and evaluation. Your research will focus on critical areas such as AI honesty, robustness, transparency, and the detection of trojan/backdoor behaviors, all aimed at mitigating real-world risks associated with advanced AI technologies.

Overview: We’re expanding our Insight Strategist team and are seeking a Senior Research Manager to empower our clients to realize the full potential of Listen Labs. In this pivotal role, you will collaborate directly with product, research, and marketing leaders at some of the most innovative organizations globally, transforming data into actionable business insights.About Listen Labs: Listen Labs offers an AI-driven research platform that enables teams to extract valuable insights from customer interviews in mere hours. Our platform aids in analyzing conversations, identifying key themes, and facilitating quicker, more informed product decisions.Why Join Us?Exceptional Team: Our founding team consists of serial entrepreneurs with a proven track record in AI, as well as talent from renowned companies such as Jane Street, Twitter, Stripe, Affirm, Bain, and Goldman Sachs, among others.Rapid Growth: As a 40-member team backed by Sequoia, we achieved a remarkable $14M run-rate within our first year, emphasizing our commitment to excellence and ownership.Strong Market Traction: We are experiencing swift growth with significant enterprise wins at industry giants like Google, Microsoft, Nestlé, and P&G.Performance Excellence: Our unique product offering has led to an industry-leading win rate.Market Validation: We consistently secure clients across various segments, often resulting in six-figure contracts that lead to rapid expansions.Viral Insights: Our interviews reach tens of thousands of viewers, promoting product-led growth and attracting interest from Fortune 500 companies.Your Responsibilities:Establish trusted relationships with product, research, and insights leaders, assisting them in integrating customer feedback with their business strategies.Lead onboarding and training initiatives to ensure clients swiftly grasp and utilize the platform.Analyze qualitative and quantitative data, identify patterns, and produce insightful briefs, dashboards, and presentations that drive strategic decisions.Act as a strategic partner, proactively identifying opportunities to enhance usage, expand to new teams, and refine metrics for customer success.Collaborate with internal teams (Product, Engineering, Sales) to advocate for the customer perspective and enhance platform features.

Location: San Francisco, CA – In office, with occasional flexibility for remote work as needed.Compensation: $100,000-$120,000, based on experience.About EpistemeAt Episteme, we are redefining research and development. Our mission is to empower researchers whose work seeks meaningful impact in the world. We provide essential financial, infrastructural, and operational support that enables scientists to concentrate on significant challenges that often fall outside conventional academic or corporate structures. By closely collaborating with researchers, we facilitate the transformation of innovative ideas from initial insights to practical applications. We believe that translating science into real-world solutions is an integral part of our mission, not merely an afterthought. When discoveries are ready, we assist in responsibly introducing them to the world, including through commercialization when appropriate.Joining Episteme means becoming part of a visionary organization that values clarity over complexity, ownership over passivity, and collaboration free from micromanagement. We embrace the inherent uncertainties of innovation, valuing intellectual honesty and a commitment to thoughtful execution. Our team comprises diverse professionals who are dedicated to rigor, impact, and accountability. Roles evolve based on contributions and trust rather than rigid job descriptions, allowing for rapid testing of ideas, explicit decision-making, and open sharing of learnings for continuous improvement.What We Look ForTo support our scientific ambitions, we seek a Research Operations Manager who will own and enhance the operational frameworks that ensure our research programs maintain clarity, momentum, and accountability. You will be tasked with ensuring that our initiatives progress smoothly under pressure, scale effectively without chaos, and do not rely on informal interventions or constant reminders.Working autonomously within your defined scope, you will make intentional trade-offs between speed, rigor, and available resources. As ambiguity increases, you will provide structure and alignment without introducing unnecessary bureaucracy.What You Will DoYou will lead the operational execution, ensuring that workflows progress with clarity, coordination, and follow-through. You will be responsible for making progress visible, maintaining reliable commitments, and fostering a culture of accountability.

About MercorMercor sits at the forefront of labor markets and artificial intelligence research, collaborating with premier AI laboratories and enterprises to harness the human intelligence crucial for AI evolution.Our expansive talent network empowers the training of cutting-edge AI models, akin to how educators impart knowledge to students—sharing insights, experiences, and contexts that transcend mere code. Currently, our network comprises over 30,000 experts, generating collective earnings exceeding $2 million daily.At Mercor, we are pioneering a unique category of work where expertise fuels AI progress. Realizing this vision necessitates a bold, fast-paced, and deeply dedicated team. You will collaborate with researchers, operators, and AI firms that are at the vanguard of transforming systems that redefine society.As a profitable Series C company, Mercor is valued at $10 billion and maintains an in-office presence five days a week at our new headquarters in San Francisco.About the RoleIn your capacity as a Research Engineer at Mercor, you will operate at the intersection of engineering and applied AI research. You will play a pivotal role in post-training and Reinforcement Learning from Human Feedback (RLVR), synthetic data generation, and large-scale evaluation workflows essential for advancing frontier language models.Your contributions will help train large language models to adeptly utilize tools, exhibit agentic behavior, and engage in real-world reasoning within production environments. You will be instrumental in shaping rewards, conducting post-training experiments, and constructing scalable systems to enhance model performance. Your responsibilities will also include designing and evaluating datasets, creating scalable data augmentation pipelines, and developing rubrics and evaluators that expand the learning potential of LLMs.

Product ResearcherAs a Product Researcher at Firecrawl, you will be pivotal in shaping our future product development. Our engineering team is currently focused on delivering robust infrastructure, while our sales and support teams effectively manage incoming queries. However, we are seeking a dedicated individual to drive our larger product initiatives—those that will elevate our tool into a leading platform. Currently, we possess a cutting-edge commercial research paper search endpoint with limited use. Our features, including answers, reranking, and monitoring, require the dedicated focus of a researcher like you. You will ensure that we prioritize effectively based on genuine customer needs.This role transcends traditional product management; you will immerse yourself in the field, engaging in frequent conversations with customers—conducting 15-25 interactions weekly. These will include discovery calls, user interviews, onboarding sessions, and discussions surrounding churn. Your mission is to uncover insights that reveal our customers' challenges and aspirations, effectively bridging the gap between our developers' efforts and our product roadmap.

At Thinking Machines Lab, we strive to empower humanity by advancing collaborative general intelligence. Our vision is to create a future where everyone can access the knowledge and tools necessary to harness AI for their specific needs and aspirations.Our team comprises scientists, engineers, and innovators who have developed some of the most widely utilized AI products, such as ChatGPT and Character.ai, along with notable open-weight models like Mistral, as well as prominent open-source projects including PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleAs a Research Product Manager (RPM) at Thinking Machines Lab, you will play a pivotal role in driving complex, high-impact technical products and programs that encompass research, infrastructure, and applied initiatives. You will facilitate the transformation of ambitious concepts into reality by propelling cross-functional collaboration, ensuring projects maintain momentum, and fostering clarity in fast-paced, ambiguous settings.Your contributions will connect people, ideas, and systems, guaranteeing that our critical research initiatives remain aligned, well-defined, and progressing efficiently. This position is ideal for someone who excels in technical discussions, comprehends the intricacies of research, can conceptualize at a high level while also delving into detailed aspects, ultimately aiming to assist the company in executing at scale.Note: This is an "evergreen role" that we keep open on an ongoing basis to express interest. We receive numerous applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Nevertheless, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities arise. You are welcome to reapply if you gain more experience, but please refrain from applying more than once every six months. You may also find that we post job openings for specific roles related to separate projects or team needs. In those cases, you are welcome to apply directly in addition to this evergreen role.What You’ll DoDrive and coordinate large-scale research products and programs, ensuring that complex projects are executed efficiently, transparently, and with scientific rigor.Translate technical ideas into actionable, well-scoped plans, defining milestones and ensuring team alignment across model development, data campaigns, infrastructure, and product integration.Collaborate across disciplines—from research and ML infrastructure to legal and business development—quickly ramping up on new domains as necessary.Create and maintain compute and resource roadmaps, identifying bottlenecks and solutions to optimize project flow.

Innovate Boldly. Shape Tomorrow. Our VisionDevelop everyday AGI. Trustworthy, user-friendly agents that transform human–AI collaboration for millions. Software should not merely execute commands; it should collaborate with you, enhancing your daily capabilities.Why Join AGI, Inc.?We are a discreet group of pioneering founders and AI researchers with expertise from Stanford, OpenAI, and DeepMind. Our team is at the forefront of mobile and computer-based agents, scaling these innovations for consumers.With years of agent research underpinning our work, we prioritize trustworthiness and reliability as foundational elements, not mere afterthoughts.Backed by top-tier investors who were instrumental in the rise of the first generation of AI giants, we are positioned to create the next wave: everyday AGI. (Check out the demo)If you envision possibilities where others see constraints, we invite you to read further.Role OverviewAs an AI Researcher, you will pioneer the development of groundbreaking AI algorithms and strategies for intelligent action-taking agents. Your innovative hypotheses will be transformed into production-ready solutions, pushing the limits of existing agent capabilities.What to Expect:Explore New Frontiers. Develop and prototype advanced architectures in reasoning, long-term planning, memory, multi-agent coordination, and alignment.Deliver Results. Conduct live A/B tests on billions of real trajectories, seeing your innovations implemented in production within weeks.Merge Theory with User Delight. Collaborate with product engineers to integrate novel algorithms into enjoyable consumer experiences.Set the Standard. Define our research rigor, safety metrics, and evaluation frameworks for anything labeled as “agentic.”Elevate Others. Mentor interns, residents, and interdisciplinary innovators, amplifying the team's overall impact.Main ResponsibilitiesInnovate Methodologies. Explore RLHF, scalable supervision, tool-use planning, state-space memory, and any other strategies that unlock new agent skills.

HUD builds infrastructure for generating and evaluating reinforcement learning (RL) training data for advanced AI agents. The team is also developing a marketplace to connect leading labs with high-quality training data. HUD's platform serves frontier labs, Fortune 500 companies, and startups. The company is backed by $15M in funding from top venture capital firms and is part of Y Combinator's W25 cohort. Role overview HUD is seeking Research Engineers in San Francisco to help strengthen quality assurance for training data produced by partner organizations. This position centers on building systems that maintain and improve data quality as demand increases. What you will do Set and uphold quality standards for training datasets. Develop tools and workflows for auditing datasets from suppliers, including sampling methods, validation pipelines (using rules and models), and feedback systems. Assess and refine human-in-the-loop review processes to support quality assurance. Collaborate with data vendors to resolve quality issues, share insights, and encourage better data generation practices. Integrate QA findings into internal tools and the data vendor portal to reduce anomalies, inconsistencies, and edge cases. Requirements Strong skills in Python, Docker, and Linux environments. Experience working with large datasets. Ability to learn quickly and adapt in technical contexts, such as programming competitions. Background in early-stage tech startups and ability to work independently. Familiarity with modern AI tools and large language models (LLMs). Clear communication skills for collaborating remotely across time zones. Preferred qualifications Understanding of common issues in training data. Background in building data validation pipelines or human-in-the-loop review systems. Strong attention to detail, with the ability to identify subtle data inconsistencies or edge cases. Experience designing metrics, experiments, and QA processes, not just executing them.

Genmo is a pioneering research laboratory dedicated to advancing cutting-edge models for video generation, with the mission of unlocking the creative potential of Artificial General Intelligence (AGI). We invite you to be a part of our innovative team, where you can contribute to shaping the future of AI and expanding the horizons of video generation technology.Role Overview:We are on the lookout for a talented Research Scientist to join our dynamic team, specializing in alignment and post-training methodologies for large-scale video generation models. In this pivotal role, you will be instrumental in ensuring our diffusion-based video models consistently deliver high-quality, physically accurate, and safe outputs that align with human values and preferences.Key Responsibilities:Lead groundbreaking research initiatives in alignment and post-training strategies for video generation models, prioritizing enhanced quality, reliability, and alignment with human intent.Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models.Establish robust evaluation frameworks to assess model alignment, safety, and output quality.Create and optimize data collection pipelines for capturing human feedback and preferences.Conduct experiments to validate alignment techniques and their scalability.Collaborate with cross-functional teams to incorporate alignment enhancements into our production workflow.Stay abreast of the latest developments by reviewing academic literature in generative AI and alignment.Mentor junior researchers and promote a culture of responsible AI development.Partner closely with product teams to ensure that alignment methods enhance model capabilities.Qualifications:Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.Demonstrated excellence with a strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) focusing on reinforcement learning, alignment, or generative models.Extensive experience in implementing and optimizing large-scale training pipelines utilizing PyTorch.In-depth understanding of reinforcement learning techniques, especially RLHF.Proficient in distributed training systems and conducting large-scale experiments.Proven ability to design and implement robust evaluation strategies for models.

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.

About Our TeamThe Safety Systems organization at OpenAI is dedicated to ensuring the responsible development and deployment of our most advanced AI models. We create evaluations, safeguards, and safety frameworks to ensure that our models operate as intended in real-world scenarios.The Preparedness team plays a critical role within the Safety Systems organization, guided by OpenAI’s Preparedness Framework.As frontier AI models hold the potential for significant benefits to humanity, they also present escalating risks. The Preparedness team is essential in preparing for the development of increasingly capable frontier AI models, focusing on identifying, tracking, and preparing for catastrophic risks associated with these technologies.The mission of the Preparedness team includes:Monitoring and predicting the evolving capabilities of frontier AI systems, especially regarding risks that could have catastrophic consequences.Establishing concrete procedures, infrastructure, and partnerships to mitigate these risks and safely advance the development of powerful AI systems.The Preparedness team integrates capability assessment, evaluations, internal red teaming, and mitigations for frontier models, coordinating overall AGI preparedness. This fast-paced and impactful work holds significant importance for both our organization and society.About the RoleAs frontier AI systems become more capable, they exhibit greater autonomy, the ability to pursue long-term goals, adapt to feedback, and utilize tools. While these advancements offer immense potential, they also raise the risk of models behaving in misaligned or deceptive ways, which can be difficult to supervise or contain. Addressing the risk of loss of control is a key challenge in the safe development and deployment of advanced AI systems.In your role as a Researcher focused on loss of control mitigations, you will design and implement an end-to-end mitigation strategy aimed at reducing the risk of intentionally subversive or inadequately controllable behaviors in OpenAI’s products and internal operations. This position necessitates strong technical expertise and close collaboration across functions to ensure that safeguards are enforceable, scalable, and effective. You will directly contribute to establishing robust protections as model capabilities evolve.

About the RoleJoin Thorin as an AI Researcher and play a pivotal role in shaping the core research initiatives that drive our AI innovations. In this position, you will operate at the crossroads of machine learning research, practical model development, and product application, enhancing our understanding and automation of enterprise workflows.This position merges theoretical research with hands-on implementation, transitioning ideas from conceptual stages through experimentation into functional components that enrich Thorin’s offerings.Your ResponsibilitiesResearch & InnovationConduct innovative machine learning research aligned with real-world product demands.Investigate new model architectures, training methods, and evaluation techniques specifically designed for understanding and automating organizational workflows.Model Development & EvaluationCreate, implement, and assess ML/AI methodologies that enhance model efficacy for essential tasks.Collaborate closely with cross-functional teams to integrate research outcomes into tangible products that meet user needs.

At magic.dev, we are committed to advancing humanity by developing safe artificial general intelligence (AGI) that tackles the world's most pressing challenges. Our unique approach focuses on automating research and code generation to enhance model performance and alignment more effectively than traditional methods. By leveraging cutting-edge pre-training, domain-specific reinforcement learning, ultra-long context processing, and efficient inference-time computation, we aim to redefine the capabilities of AGI.Role OverviewAs a Research Engineer, you will play a pivotal role in training, evaluating, and deploying large-scale AI models alongside innovative inference-time computing methods. You will contribute to the creation of extensive internet-scale datasets and support the prototyping of groundbreaking research and product initiatives.Key ResponsibilitiesEnhance inference throughput for cutting-edge model architecturesDevelop and refine frameworks that underpin our research and production processesTrain trillion-parameter models using large GPU clustersCurate post-training datasets to bolster specific capabilitiesConstruct internet-scale data pipelines and web crawlersDesign, prototype, and optimize innovative model architecturesContribute to cutting-edge research in long-context, inference-time computation, reinforcement learning, and additional domainsQualificationsProven software engineering expertiseIn-depth understanding of deep learning literatureExperience with both pre-training and post-training of large language models (LLMs)Strong capability to generate and assess research ideasFamiliarity with large distributed systemsProficient in managing substantial ETL workloadsCompensation and BenefitsAnnual salary ranging from $225,000 to $550,000 based on experienceEquity is a significant component of total compensation401(k) plan with a 6% salary matchComprehensive health, dental, and vision insurance for you and your dependentsUnlimited paid time offVisa sponsorship and relocation assistance availableBe part of a small, dynamic, and focused team