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.

Executive Assistant to the CEOAs the Executive Assistant to the CEO at Firecrawl, you will play a pivotal role in ensuring the seamless management of our CEO's calendar, communications, and commitments. This position demands a high level of trust, accuracy, and a commitment to excellence. Your main responsibility will be to guarantee that every aspect of the CEO’s schedule operates smoothly, ensuring that no important task is overlooked.Key Responsibilities:Calendar Management: Oversee the CEO's calendar with absolute clarity and organization, ensuring that every meeting is purposeful and well-prepared.Inbox Triage: Manage a high-volume inbox, prioritizing urgent matters and drafting timely responses to ensure that critical communications are addressed promptly.Follow-through on Commitments: Prepare briefing materials for meetings, track action items, and ensure that all commitments are executed effectively.

Role Overview Firecrawl is hiring a Product Engineer for the Interact team. This position focuses on designing and building new features that improve how users engage with our products. The team values technical skill and a collaborative mindset. Key Responsibilities Work with cross-functional groups to shape product specifications and priorities Develop and maintain scalable, efficient solutions for user-facing features Contribute to product strategy through technical insight and feedback Location San Francisco, CA (Hybrid) Remote within the Americas (UTC-3 to UTC-10 time zones)

Product Engineer — SearchJoin Firecrawl as a Product Engineer and take charge of our developer-focused search experience. You will bridge the gap between groundbreaking research and practical application, transforming retrieval and ranking advancements into a product that developers find indispensable. This role is unique as it combines deep technical expertise with a passion for user experience. In our dynamic team of 26, you will play a pivotal role in delivering impactful product enhancements.Salary Range: $180,000–$290,000/year (This range applies to U.S. employees, with adjustments made for international employees based on local cost of living. More information on our compensation structure can be found here.)Equity Range: Up to 0.15%Location: San Francisco, CA or Remote (Americas, UTC-3 to UTC-10)Job Type: Full-TimeExperience: 3+ years of experience in applied reinforcement learning, machine learning engineering, or model training with production systems.Visa: US Citizenship/Visa required for San Francisco; N/A for Remote positions.About FirecrawlAt Firecrawl, we simplify data extraction from the web, equipping developers to seamlessly convert URLs into LLM-ready markdown or structured data through a single API call. In just a year, we have achieved 8 figures in annual recurring revenue and garnered over 100k GitHub stars by providing the fastest solutions for developers seeking LLM-ready data.We are a nimble, technically adept team focused on building essential infrastructure that superintelligence will leverage to gather web data. Our approach is to ship quickly and deliver profound results.What You'll DoImplement noticeable search enhancements. Transform research-driven retrieval and ranking improvements into tangible product modifications that resonate with developers. You understand that a 200ms latency decrease translates to a superior product. You will manage the entire process: from API modifications to documentation updates and illustrative examples.Oversee the search API comprehensively. You will be accountable for the integration and usability of Firecrawl's search endpoint. This encompasses response formats, latency, error handling, pagination, and filtering — every interaction a developer experiences. Your keen attention ensures that every developer's touchpoint is optimized for performance and usability.

Join firecrawl as a Research Engineer specializing in Reinforcement Learning (RL). In this role, you will leverage your expertise to conduct innovative research and develop advanced RL algorithms that push the boundaries of technology. Collaborate with a talented team of engineers and researchers to solve complex problems and contribute to groundbreaking projects.

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.

Join the Center for AI Safety (CAIS), a premier research and advocacy institution dedicated to minimizing large-scale societal risks associated with artificial intelligence. We tackle the most pressing challenges in AI through innovative technical research, community-building initiatives, and active policy engagement, alongside our sister organization, the Center for AI Safety Action Fund.As a Research Engineer, you will operate at the forefront of advanced machine learning research and dependable engineering practices. Your role will involve designing and executing experiments on large language models, developing the necessary tools for extensive model training and evaluation, and translating findings into publishable research. You will work collaboratively with CAIS researchers and external academic and commercial partners, utilizing our compute cluster to conduct large-scale training and evaluations. Your work will focus on critical areas such as AI honesty, robustness, transparency, and the identification of trojan/backdoor behaviors, all aimed at mitigating real-world risks posed by sophisticated AI systems.

Join Firecrawl as a Research Engineer focusing on Search and Information Retrieval (IR). In this pivotal role, you will leverage cutting-edge technologies to develop innovative solutions that enhance our clients' search capabilities. You will work closely with cross-functional teams to analyze data, implement algorithms, and contribute to the advancement of our search platforms.

Join firecrawl as the Head of Brand, where you will lead our branding strategy and initiatives to elevate our market presence. As a key member of our leadership team, you will craft and execute innovative branding campaigns that resonate with our audience and reflect our mission. You will work collaboratively with marketing, product, and design teams to develop a cohesive brand narrative that drives customer engagement and loyalty.

Join Firecrawl as a Developer Relations Specialist focusing on documentation and YouTube content creation. In this dynamic role, you'll engage with our developer community, providing resources and support through comprehensive documentation and engaging video content. Your expertise will help enhance the user experience and foster a vibrant developer ecosystem.

Join firecrawl as the Head of Marketing, where you will spearhead our marketing strategies and initiatives. In this pivotal role, you will shape our brand identity and drive customer engagement across multiple channels. You will collaborate with cross-functional teams to develop innovative marketing campaigns aimed at expanding our market presence and enhancing our customer experience.

About CartesiaAt Cartesia, our vision is to create the future of artificial intelligence—intelligent systems that are seamlessly integrated into daily life. We aim to overcome current limitations by enabling models to continuously understand and analyze vast streams of audio, video, and text data—ranging from 1 billion text tokens to 1 trillion video tokens—right on your device.Our pioneering team, comprised of PhDs from the Stanford AI Lab, has developed State Space Models (SSMs), a groundbreaking approach to training efficient, large-scale foundation models. With a rich blend of expertise in model innovation and systems engineering, alongside a product-focused engineering team, we are committed to developing and delivering cutting-edge AI models and user experiences.Supported by prominent investors including Index Ventures and Lightspeed Venture Partners, as well as many esteemed advisors and over 90 angel investors from diverse industries, we are at the forefront of AI advancements.About The RoleIn our quest to create truly global AI, we must train our models using datasets that represent the vast diversity of languages and cultures around the world. We are looking for a Research Engineer to take charge of the quality and comprehensiveness of the data that drives our models. As our in-house expert in global data, you will ensure that our models excel across multiple languages, leveraging your keen understanding of linguistic subtleties and your enthusiasm for building inclusive, large-scale datasets.Your ImpactDesign and construct extensive datasets for model training, conducting controlled experiments to evaluate their effect on model performance.Develop assessments for speech models through both manual annotation and automated evaluation metrics.Utilize data generation techniques to enhance model intelligence and reduce biases.Create automated quality control systems to validate and filter the generated data.Collaborate with product teams to ensure optimal support for key languages and markets.What You BringProven experience in developing or working with extensive multilingual datasets.Familiarity with generative models, including speech, text, or multimodal systems.Ability to guide human annotation and evaluation across various languages.Strong analytical skills and a passion for data-driven decision-making.

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.

About CartesiaAt Cartesia, we are on a mission to revolutionize artificial intelligence by creating interactive, ubiquitous intelligence that operates seamlessly wherever you are. Current AI models struggle to continuously process and reason over extensive streams of data, including a year’s worth of audio, video, and text. Our innovative team is developing advanced model architectures to overcome these challenges.Founded by PhDs from the Stanford AI Lab who pioneered State Space Models, we blend deep expertise in model innovation with a design-focused engineering approach. With backing from top-tier investors such as Index Ventures and Lightspeed Venture Partners, along with a network of industry-leading advisors, we are pushing the boundaries of AI.About the RoleJoin our New Horizons Evaluations team as the Evaluations Lead, where you will redefine how we measure progress in interactive machine intelligence. You will create evaluation frameworks that assess not only what models know but also how they reason, remember, and engage over time. This multifaceted role bridges research, product development, and infrastructure to establish metrics and systems that articulate the essence of “intelligence” in the next wave of AI. Ideal candidates will possess a blend of scientific rigor and technical prowess, alongside a genuine curiosity about user interactions with intelligent systems. Your contributions will be pivotal in shaping Cartesia’s model development, focusing on deeper qualities such as understanding, naturalness, and adaptability in real-world applications.Your ImpactDefine and identify essential model capabilities and behaviors for next-generation evaluations.Develop and implement comprehensive evaluation pipelines with robust statistical analysis and transparent reporting.Collaborate closely with model training and research teams to integrate evaluation systems into the model development process.Design and prototype user studies and behavioral experiments to ground evaluations in practical use.

Join Cartesia: Pioneering AI InnovationAt Cartesia, we are on a mission to redefine the landscape of artificial intelligence. Our goal is to create the next generation of AI that is interactive, ubiquitous, and capable of continuous reasoning across vast streams of audio, video, and text data. With an impressive foundation built on our pioneering work in State Space Models (SSMs) at the Stanford AI Lab, our team is uniquely positioned to advance model architectures that will make on-device reasoning a reality.Backed by prominent investors like Index Ventures and Lightspeed Venture Partners, along with a network of 90+ advisors, including top experts in AI, we are committed to pushing the boundaries of model innovation and systems engineering.About the RoleWe believe that the next significant advancement in model intelligence will stem from enhanced post-training methods and alignment strategies. As a Post-Training Researcher, you will be at the forefront of developing systems and methodologies that ensure our multimodal models are not just adaptive, but also aligned with human intentions.In this role, you will collaborate across machine learning research, alignment, and infrastructure, crafting innovative techniques for preference optimization, model evaluation, and feedback-driven learning. You will investigate how feedback signals can enhance reasoning capabilities across various modalities while establishing the necessary infrastructure to scale and improve these processes.Your contributions will be pivotal in shaping the learning and improvement trajectory of Cartesia’s foundational models, ultimately enhancing their connection with users.Your ImpactLead research initiatives aimed at enhancing the capabilities and alignment of multimodal models.Create cutting-edge post-training methods and evaluation frameworks to assess model advancements.Collaborate closely with research, product, and platform teams to establish best practices for specialized model development.Design, debug, and scale experimental systems to ensure reliability and reproducibility throughout training cycles.Convert research insights into production-ready systems that enhance model reasoning, consistency, and alignment with human values.

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.

Forward Deployment EngineerAs a Forward Deployment Engineer at Firecrawl, you'll engage directly with our clients to implement Firecrawl in diverse real-world scenarios, facilitating integrations and transforming customer requirements into scalable solutions and enhancements to our product. This role is deeply hands-on and customer-oriented—perfect for those who thrive on addressing intricate challenges in real-time and delivering effective, practical solutions swiftly.Salary Range: $150,000–$250,000/year (This range applies to U.S.-based employees; compensation for those outside the U.S. is adjusted according to local cost of living. For more details, visit our compensation page.)Equity Range: Up to 0.10%Location: San Francisco, CA (Hybrid) OR RemoteJob Type: Full-Time (SF) OR Contract (Remote)Experience: 3+ years or equivalent experience in shipped systems.Visa Requirements: U.S. Citizenship/Visa required for SF; Not applicable for Remote roles.

Join Our Team:At OpenAI, our mission is to ensure that the advancements in artificial intelligence benefit everyone. Our Science team is dedicated to creating AI-driven products that empower scientists and researchers to enhance their thinking, accelerate their work, and foster breakthroughs across various disciplines.With AI poised to transform scientific exploration, we recognize the challenges faced by researchers today—rising complexity, fragmented toolsets, and the need for rapid learning and reasoning across vast information landscapes. Our goal is to build exceptional OpenAI for Science experiences that facilitate scientific thinking, writing, analysis, and collaboration in fields such as mathematics, physics, biology, chemistry, and more.Your Role:We are looking for a talented and experienced Product Designer to shape the future of scientific product experiences. Your design expertise will be vital in creating intuitive, elegant, and innovative products that redefine the potential of AI tools for scientists. You will influence the entire product experience, from initial exploration and reasoning to writing, iteration, and collaboration.Key Responsibilities:Oversee the design and product direction of OpenAI's scientific offerings.Develop and launch high-quality products and enhancements, from initial concepts to polished prototypes.Collaborate with engineering, product management, AI researchers, and design colleagues to define and actualize product experiences.Conduct user research to gain insights into the workflows of scientists and researchers and apply those findings to improve our products.Contribute to the evolution of our design system.Help establish a vibrant design culture and support team growth.Tackle ambiguous challenges and drive them toward practical, high-quality solutions.

Join Anara as our pioneering Technical Product Manager in San Francisco, where you will play a crucial role in shaping the future of scientific research through AI. Your mission will be to develop innovative tools that will redefine how researchers operate and accelerate scientific discoveries for years to come.In this dynamic position, you will collaborate directly with our founder, leveraging your technical expertise, passion for science, and product intuition to drive the evolution of our platform. You will engage with top-tier researchers to gather insights, work closely with engineers to troubleshoot user workflows, and present product strategies to our team.

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.