Researcher, Health AI

Join Our Innovative TeamAt OpenAI, our Safety Systems team is at the forefront of ensuring that AI models are safe, robust, and reliable for real-world applications. We are committed to the principle set forth in our charter: to widely distribute the benefits of AI technology. Our Health AI unit is dedicated to providing equitable access to high-quality medical information. By bridging AI safety research with healthcare applications, we strive to develop trustworthy AI systems that empower medical professionals and enhance patient care.The OpportunityWe are on the lookout for passionate researchers who are eager to contribute to AI safety and improve health outcomes globally. As a Health AI Research Scientist, your role will involve developing safe and effective AI models tailored for healthcare applications. You will implement innovative methods to enhance the behavior, knowledge, and reasoning capabilities of our models. This necessitates research into safety and alignment techniques that can be generalized to ensure a beneficial AGI.This position is based in San Francisco, CA, utilizing a hybrid work model (3 days in the office per week) and we provide relocation assistance for new hires.Key Responsibilities:Design and implement scalable methods to enhance the safety and reliability of our models, such as Reinforcement Learning from Human Feedback (RLHF), automated red teaming, and scalable oversight.Assess methodologies using health-related data to ensure models deliver accurate, reliable, and trustworthy information.Develop reusable libraries to apply general alignment techniques across our models.Proactively analyze the safety of our models and systems, identifying potential risk areas.Collaborate with cross-functional teams to embed safety methods into core model training and drive safety improvements in OpenAI products.Ideal Candidate Profile:Align with OpenAI’s mission to ensure AGI benefits everyone and resonate with our charter.Exhibit a strong passion for AI safety and enhancing global health outcomes.Possess 4+ years of experience in AI research, with a focus on health applications.Demonstrate proficiency in machine learning frameworks and safety techniques.Showcase effective communication skills for cross-team collaboration.

Join Us at Amplifier Health!We are pioneering healthcare innovations with the world's first Large Acoustic Model (LAM), a groundbreaking foundation model that utilizes human voice to identify health conditions. This is where science fiction meets reality, and we have secured substantial funding from leading investors to establish a transformative new category in healthcare.We are in search of a passionate AI researcher who is ready to break free from the traditional "publish or perish" mindset and focus on creating impactful intelligence that truly works in real-world applications.The Reality of Our WorkWe are entering an exhilarating phase of rapid growth. Our commitment to pushing the boundaries of technology is matched only by our dedication to saving lives at scale.Our team collaborates in person in San Francisco, believing that the most challenging problems are best tackled together at a whiteboard rather than through virtual meetings.We operate at a fast pace, quickly transitioning from hypothesis to code, training, and validation with immediate feedback.We enjoy our work and thrive as a close-knit team on an exciting journey, driven by our passion for what we do.Your MissionAs part of our elite AI Research team, you will elevate the state-of-the-art in acoustic modeling. Your role will involve designing innovative architectures to extract clinical-grade biomarkers from raw audio data, not just fine-tuning existing models.The Challenges Ahead:Novel Architectures: You will explore how Transformer architectures can be adapted to process complex acoustic signals and long-range dependencies.Biomarker Discovery: You will conduct experiments to identify specific acoustic features (such as jitter, shimmer, and respiratory rate) that correlate with health conditions, often uncovering new signals that have yet to be recognized by medical science.Data Efficiency: You will contribute to building a foundation model, utilizing self-supervised learning techniques to harness vast amounts of unlabeled audio data.

Join Our Innovative Team at David AIDavid AI is pioneering the audio data research landscape. We adopt a rigorous R&D methodology for developing datasets that parallels the standards upheld by leading AI laboratories. Our vision is to seamlessly integrate AI into everyday experiences, with audio serving as the perfect conduit. The evolution of audio AI is rapidly unfolding, yet the availability of high-quality training data remains a critical challenge. This is where David AI steps in.Founded in 2024 by a talented group of former engineers and operators from Scale AI, we have quickly become a trusted partner to numerous FAANG companies and AI research labs. Recently, we secured $50 million in a Series B funding round with notable investors, including Meritech, NVIDIA, and Alt Capital.Our culture is built on sharp intellect, humility, ambition, and a close-knit community. We invite exceptional minds in research, engineering, product development, and operations to join us as we advance the field of audio AI.Research Team OverviewAt David AI, we are convinced that superior model capabilities stem from high-quality, differentiated data. Our research team is dedicated to conducting ambitious, long-term studies into audio technology while collaborating with both internal and external partners to implement cutting-edge research insights into practical applications.Your Role as a Founding Audio AI Research EngineerIn this position, you will establish the research framework that influences how premier AI labs develop their audio models. You will have access to a top-tier team of human AI trainers, robust computing resources, and the autonomy to shape your research agenda.Key ResponsibilitiesCreate and implement comprehensive evaluation frameworks for assessing audio AI capabilities in areas such as speech, emotion detection, conversational dynamics, and acoustic patterns.Investigate and prototype innovative methodologies for audio quality assessment, automated labeling, and optimizing data collection processes.Design focused data collection pipelines aimed at capturing novel, high-value audio capabilities.Develop automated systems for ongoing classifier enhancement and prompt engineering evaluation.Assess cutting-edge models and formulate actionable research strategies.Publish your findings in prestigious conferences.

About Distyl AIDistyl AI specializes in creating high-performance AI systems that enhance the fundamental operational processes of Fortune 500 companies. Through a strategic alliance with OpenAI, proprietary software accelerators, and extensive expertise in enterprise AI, we deliver effective AI solutions with swift time-to-value, often within a quarter.Our innovations have empowered Fortune 500 clients in various sectors, including insurance, consumer packaged goods, and non-profit organizations. Joining our team means you will assist organizations in recognizing, developing, and extracting value from their Generative AI investments, frequently for the first time. We prioritize customer needs, working backward from the client's challenges and ensuring we generate financial benefits while enhancing the experiences of end-users.Distyl is guided by seasoned leaders from top-tier companies like Palantir and Apple and enjoys backing from prominent investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (Former CEO of GitHub), Brad Gerstner (Founder and CEO of Altimeter), along with board members from numerous Fortune 500 firms.What We Are Looking ForAt Distyl, we are at the forefront of leveraging AI within enterprises. We seek imaginative researchers who aspire to go beyond incremental enhancements on benchmarks and are eager to redefine the application of software in innovative ways.Our researchers hail from diverse academic disciplines but possess a robust research background, operate in an AI-centric manner, and would find conventional research environments unfulfilling.Key ResponsibilitiesThe AI Systems team is dedicated to architecting complex, comprehensive solutions that integrate perception, reasoning, planning, and execution. Researchers amalgamate various components (LLMs, retrievers, evaluators, memory systems, and execution agents) into resilient, scalable systems that deliver consistent performance across dynamic enterprise workflows.Researchers in AI Systems examine the principles governing intricate system interactions. They analyze coordination, information flow, and emergent behavior across multiple agents and models. Their research reveals the foundational mechanics of robustness, composability, and alignment, ultimately establishing the design paradigm for constructing intelligent systems.

About Retell AI Retell AI develops advanced voice AI technology for call centers, using first-principles approaches to create intelligent voice agents. These agents help businesses manage sales, support, and logistics communications while reducing reliance on large human teams. The company has reached $36M ARR in just 18 months, backed by Y Combinator and Alt Capital. With a team of 20, Retell AI is building a comprehensive customer experience platform, aiming for AI-powered contact centers by 2026. The vision: intelligent agents that execute, monitor, and improve customer interactions with minimal human oversight. Named a top 50 AI app by a16z: https://tinyurl.com/5853dt2x Ranked #4 on Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025 Featured among top startups: https://leanaileaderboard.com/ Role Overview: Research Scientist - Voice AI Innovation This role centers on advancing machine learning for human-like voice agents in real-world settings. The Research Scientist will explore new methods in large language models (LLMs) and audio models, design evaluation techniques, and prototype systems that improve reasoning, reduce latency, and enhance conversational quality. The work involves open-ended ML challenges, rapid experimentation, and direct influence on the performance and cognitive abilities of voice AI systems at scale. Location San Francisco Bay Area

Become a Pioneer in Sleep FitnessAt Eight Sleep, we're dedicated to unlocking human potential through optimal sleep. As the world's first sleep fitness company, we are revolutionizing what it means to be well-rested by creating the most advanced hardware, software, and AI technology. Our innovative products enhance mental, physical, and emotional performance by transforming each night into a personalized, data-driven recovery journey. Trusted by high achievers, professional athletes, and health-conscious individuals across over 30 countries, we have been recognized by Fast Company as one of the Most Innovative Companies in 2019, 2022, and 2023, and honored twice by TIME's “Best Inventions of the Year.” Our high-performance team operates with speed, focus, and a commitment to impact. We don't just create; we refine and obsess over every detail to ensure our members sleep better and wake up stronger.Every position at Eight Sleep offers the opportunity to innovate cutting-edge technology, collaborate with exceptional talent, and contribute to a future where sleep is a powerful tool for well-being. If you're ready to break away from the ordinary and eager to build at the forefront of possibility, this is your chance to join us in reshaping how the world sleeps and what we can achieve upon waking.Our Culture: High Standards, No CompromiseOur mission demands intensity, and at Eight Sleep, we embody the mindset of the world's top performers: focused, relentless, and committed to being in the top 1% of our field. Inspired by the relentless drive of legends like Kobe Bryant, we apply that mentality to bold ideas, next-gen technology, and impeccable execution. This is not a standard 9-to-5 role; our team is dedicated, often working 60+ hours per week—not out of obligation, but out of passion. If you thrive under pressure and seek to do the most meaningful work of your career, you'll find a home here. If you prefer an easier path, this position is not for you.Your RoleAs a Machine Learning Research Scientist at Eight Sleep, you will be at the cutting edge of sleep innovation. Your mission will be to leverage innovative technology, minimalistic design, and proven clinical science to personalize and enhance sleep experiences, fundamentally changing how people sleep for the better.Our revolutionary temperature-regulated technology, the Pod, has been recognized as a game changer, enhancing health and happiness by transforming sleep. Join us in making sleep count for more.

The OpportunityBecome a vital part of a transformative team dedicated to redefining chronic pain treatment by targeting its fundamental source: the brain. Hinge Health is broadening its horizons beyond traditional physical therapy to create a holistic Brain Health ecosystem. In this pivotal role, you will spearhead the architecture and development of agentic AI systems designed to provide personalized pain reprocessing therapy and mindfulness practices. You will act as a bridge between clinical science and software engineering, crafting the technology that empowers millions of members to retrain their nervous systems in processing pain.Your ImpactArchitect Innovative AI Therapies: Develop and enhance agentic AI systems that facilitate multi-session conversational therapy while ensuring contextual continuity, emotional intelligence, and adherence to clinical standards.Create an Integrated Education Platform: Construct a centralized service that offers tailored pain science education and mindset strategies, customizing content to align with each member’s therapeutic objectives.Shape Technical Strategy: Collaborate with product and clinical leadership to define the long-term technical vision for Brain Health, strategically balancing immediate deliverables with the need for scalable, resilient infrastructure.Establish MLOps Standards: Develop best practices for model evaluation, effectiveness tracking, and safety measures, tailored to the unique requirements of mental health AI.Lead & Mentor: Serve as a technical guide for the team, mentoring fellow engineers, fostering a culture of technical excellence, and promoting collaboration among data science, clinical, and platform teams.About YouA Visionary Builder: Beyond just coding, you design systems that scale. You possess a profound understanding of distributed systems, adeptly navigating the complexities of developing AI-driven products in a highly regulated healthcare setting.A Continuous Learner: You are at the forefront of AI and software engineering, continually assessing emerging technologies to enhance performance and refine the platform.A Collaborative Leader: You excel in multidisciplinary environments, effectively translating intricate technical concepts for clinical and product stakeholders to guarantee clinically sound and technically robust solutions.A Dedicated Owner: You take pride in every facet of your work, from architecture through to production support, embodying a DevOps culture to ensure seamless operations.

About GranicaGranica is an innovative AI research and infrastructure firm dedicated to creating reliable, steerable representations of enterprise data.We establish trust through Crunch, a policy-driven health layer optimizing large tabular datasets for efficiency, reliability, and reversibility. Utilizing this foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures, delivering trustworthy answers and automation with integrated provenance and governance.Our MissionCurrent AI capabilities are hindered not only by model design but also by the inefficiencies of the data that supports it. At scale, each redundant byte, poorly organized dataset, and inefficient data pathway contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage groundbreaking research in information theory, probabilistic modeling, and distributed systems to craft self-optimizing data infrastructure: systems that continually enhance how information is represented and utilized by AI.Led by Prof. Andrea Montanari from Stanford, Granica’s Research group merges advances in information theory with learning efficiency in large-scale distributed systems. We collectively believe that the next significant leap in AI will originate from innovations in efficient systems, rather than merely larger models.Granica is at the forefront of developing a new category of structured AI models: foundational models designed to learn and reason from the relational, tabular, and structured data that drives the global economy. While many focus on unstructured text or media, we are venturing into the next frontier: systems capable of comprehending and reasoning over structured information.Your ContributionsCreate and prototype algorithms that form the core of structured AI, enhancing representation learning and efficient information modeling for enterprise and tabular data at petabyte scale.Develop adaptive learners merging statistical learning theory with systems optimization at scale, contributing to a new generation of foundational models for structured information.Design architectures that unify symbolic, relational, and neural components, enabling AI systems to reason directly over structured enterprise data.Construct cost models and optimization frameworks that enhance the efficiency of structured learning, both computationally and economically.

About Our TeamThe Safety Systems team at OpenAI is at the forefront of ensuring our advanced AI models are deployed safely for societal benefit. We are dedicated to OpenAI's mission of building safe AGI and promoting a culture centered on trust and transparency.Our Trustworthy AI team focuses on actionable research that considers the societal implications of AI development. This includes addressing complex policy challenges by creating mechanisms for public input into AI values and analyzing the effects of anthropomorphism in AI. We strive to convert abstract policy dilemmas into practical, measurable solutions that can help prepare society for more intelligent systems. Our work also emphasizes external validations and assurances for AI, aiming to strengthen independent oversight.About the RoleWe are seeking outstanding research scientists/engineers who can enhance our efforts to prepare society for AGI. The ideal candidate will have the capability to transform vague policy issues into quantifiable and actionable research.This position is based at our headquarters in San Francisco, and we provide relocation assistance for new hires.In This Role, You Will:Develop research methodologies and strategies to investigate the societal impacts of our models in a manner that informs model design.Innovate and execute experiments that facilitate public engagement in shaping model values.Enhance the robustness of external assurances through comprehensive evaluations of outside findings.Support and expand our capacity to mitigate risks associated with flagship model deployments efficiently.You Will Excel in This Role If You:Are passionate about OpenAI’s vision of developing safe, universally beneficial AGI and resonate with our charter.Demonstrate a strong commitment to AI safety, aiming to enhance the safety of cutting-edge AI systems for practical application.Bring over 3 years of research experience (whether in industry or academia) and proficiency in Python or analogous programming languages.Exhibit excellent problem-solving skills with a track record of translating complex concepts into actionable insights.

About Us:At Ambience Healthcare, we are not just another scribe service; we are pioneering an AI intelligence platform designed to bring humanity back to healthcare while delivering substantial ROI for health systems nationwide.Our innovative technology empowers healthcare providers to concentrate on exceptional patient care by alleviating the administrative tasks that distract them from their vital responsibilities. We offer real-time, coding-aware documentation and clinical workflow support across ambulatory, emergency, and inpatient settings at leading health systems throughout North America.Our teams are driven by a strong sense of ownership and dedication to creating the best solutions for our partners within the health system. We prioritize honesty, positivity, and thoughtful discourse, holding each other to high standards because we understand the significance of the challenges we tackle.Ambience has received numerous accolades, including being ranked #1 for Enhancing the Clinician Experience in the KLAS Research Emerging Solutions Top 20 Report, recognized by Fast Company as one of the Next Big Things in Tech, honored as one of the best AI companies in healthcare by Inc., and selected as a LinkedIn Top Startup in both 2024 and 2025. We are proudly backed by notable investors like Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins — and our journey is just beginning.The Role:Become part of a vibrant team that is transforming healthcare through AI-driven solutions that boost clinician productivity and minimize administrative workload. This position combines clinical knowledge with technical problem-solving and the application of advanced AI technologies, aiding in the development of precise and efficient medical documentation, coding, and various AI tools that empower clinicians.Preferred: Willingness to work 3 days a week from our San Francisco office.What You'll Do:Prototype and test cutting-edge models, techniques, and architectures in collaboration with clinicians and technical teams to enhance user experience and functionality.Design experiments, establish success criteria, and create roadmaps for new products and features.Assess and improve AI models to ensure clinical accuracy and dependability.Curate and audit datasets to guarantee high-quality, representative training and testing materials.Analyze feedback and address issues with AI outputs using clinical insights and analytical skills.Engage in continuous learning and development in AI technologies and clinical practices.

About UsAt 1mind, we are revolutionizing the way revenue teams engage with clients through our innovative platform that deploys multimodal Superhumans. These advanced digital agents combine human-like appearance and communication skills with extensive technical and product knowledge, allowing them to conduct unlimited conversations around the clock. Our Superhumans are designed to qualify leads, schedule meetings, deliver presentations, provide interactive demos, address objections, identify pain points, construct value models, and facilitate customer onboarding. They seamlessly integrate into existing workflows, enhancing productivity and driving measurable revenue growth while improving the overall buyer experience.Job DescriptionWe are seeking a dynamic AI Research Lead to spearhead our research initiatives at 1mind. This pivotal position will significantly influence our company's direction and success. In this role, you will conduct exploratory research focused on post-training methodologies for sales and go-to-market (GTM) strategies, developing models that elucidate human selling behaviors and relationship-building processes. Collaborating closely with our CTO, you will have the autonomy to shape the research agenda, build a dedicated team, and disseminate your findings. This is an applied research role with immediate impact; our agents are currently operational in customer environments, producing high-quality data from thousands of authentic buyer interactions.If you have a background in cutting-edge research and post-training work at a leading lab, and you are eager to create solutions that will be implemented in production environments utilizing unique datasets, we want to hear from you.

About Distyl AIDistyl AI is at the forefront of developing production-grade AI systems that enhance core operational workflows for Fortune 500 companies. Our innovative solutions, powered by a strategic alliance with OpenAI and bolstered by in-house software accelerators, deliver AI systems with rapid time-to-value, often within just a quarter.Our cutting-edge products have successfully transformed the operations of Fortune 500 clients across a multitude of sectors, including insurance, consumer packaged goods, and non-profit organizations. As a member of our team, you will be instrumental in assisting companies to identify, construct, and unlock the potential of their GenAI investments, frequently for the first time. We pride ourselves on being customer-centric, addressing client challenges directly, and holding ourselves accountable for generating financial impact while enhancing the experiences of end-users.Led by distinguished leaders from prestigious organizations such as Palantir and Apple, Distyl is also supported by renowned investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (former CEO of GitHub), and Brad Gerstner (Founder and CEO of Altimeter), alongside board members from over a dozen Fortune 500 companies.

About the Role Hex Technologies is at the forefront of the AI revolution, providing an innovative platform that transforms modern Data Science and Data Analytics workflows. As an AI Research Engineer, you will collaborate with product teams to create cutting-edge AI experiences, including the Notebook Agent. Your responsibilities will include conducting experiments, fine-tuning models, deploying AI infrastructure, and developing robust experimentation tools. Your primary focus will be enhancing Hex's context engine and advancing the capabilities of our Notebook Agent, designed for professionals engaged in complex and impactful data tasks. The Notebook Agent serves as a sophisticated data copilot, capable of writing SQL and Python, crafting visually stunning reports, and collaborating with analysts to explore new data inquiries. Your efforts will help data teams within Hex deliver highly accurate and tailored data experiences for their stakeholders, empowering data-driven decision-making across the organization. If you are a passionate builder eager to amplify these capabilities for thousands of users, join us on the leading Data Science platform with unparalleled user context.

Join Perplexity in our mission to redefine the future of AI-powered search and agent experiences! We are on the lookout for exceptional AI Research Scientists and Engineers who are eager to push the boundaries of technology. Our innovative products, including Sonar models, Deep Research Agent, Comet Agent, and advanced search tools, are designed to handle hundreds of millions of queries and are scaling rapidly. If you have a passion for cutting-edge AI and want to contribute to state-of-the-art experiences, we would love to hear from you!Team StructureDepending on your interests and expertise, you will have the opportunity to collaborate within one of three specialized teams:1. Core Research TeamThis team focuses on the generation and enhancement of foundational models that underpin all our products, emphasizing core model capabilities and the development of infrastructure that serves the entire organization.2. Agent Products TeamThis team specializes in fine-tuning and optimizing models specifically for our Deep Research Agent and Labs/Canvas products, ensuring that our agent functionalities provide exceptional user experiences.3. Comet Agent TeamDedicated to the development and refinement of the Comet Agent product, this team addresses the unique requirements and optimizations necessary for Comet's specific use cases.ResponsibilitiesResearch & DevelopmentPost-train state-of-the-art large language models (LLMs) using cutting-edge supervised and reinforcement learning methodologies (SFT/DPO/GRPO).Utilize our comprehensive query-answer dataset to scale model performance across our Sonar, Deep Research, Comet, and Search products.Remain abreast of the latest advancements in LLM research, focusing on model training, optimization, and personalization techniques.Implement preference optimization and personalization features to elevate user experience.Innovate and develop in-house enhancements and optimizations for state-of-the-art models.Translate research ideas into algorithms and conduct experiments to deploy new models.Infrastructure & ImplementationOversee the full-stack data, training, and evaluation pipelines that are essential for model development.Create robust and efficient training frameworks (based on Megatron/PyTorch) for post-training LLMs.Establish necessary infrastructure components to support cutting-edge model development.

AI Research ScientistOverviewJoin Physical Superintelligence, an innovative startup rooted in prestigious institutions such as Harvard, MIT, Johns Hopkins, Oxford, the Institute for Advanced Study, and the Perimeter Institute. We are at the forefront of building AI systems designed to uncover groundbreaking insights in physics on a grand scale. We are in search of talented AI researchers dedicated to developing reinforcement learning agents and training frameworks that propel scientific discovery.Key Responsibilities- Develop and optimize AI systems aimed at physics discovery, collaborating with physicists on verification harnesses and engineers on training infrastructure.- Address critical AI research questions related to agent learning in physics reasoning, action space design for scientific exploration, reward structure development, and scalable training systems.- Construct and train reinforcement learning agents leveraging cutting-edge methodologies such as PPO, SAC, MuZero, and multi-agent self-play.- Design agent architectures tailored for physics reasoning and scientific tool utilization.- Execute training curricula and reward structures for discovery tasks.- Establish evaluation workflows and benchmarks to assess physics reasoning capabilities.- Develop instrumentation to analyze agent behavior and learning dynamics.- Collaborate closely with physicists and engineers to refine system design and architecture.Candidate ProfileWe are looking for candidates with a strong background in developing agents and training models using reinforcement learning. Proficiency in modern machine learning frameworks and experience with distributed training systems is essential, alongside a proven track record of deploying effective AI systems.Essential Skills:- Practical experience with contemporary reinforcement learning algorithms including PPO, SAC, MuZero, and multi-agent self-play.- Proficient in PyTorch or JAX, with hands-on experience in distributed training using Ray, XLA, or Accelerate, and familiarity with modern pretraining workflows.Preferred Background:- A strong foundation in physics or mathematics that enhances intuition for physical reasoning and mathematical modeling.- Experience applying agents in simulators, games, scientific tool use, or benchmark design employing rigorous experimental methodologies.

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.

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.

About Liquid AIFounded as a spin-off from MIT CSAIL, Liquid AI specializes in creating versatile AI systems designed for optimal performance across various deployment platforms, including data center accelerators and on-device hardware. Our technology emphasizes low latency, minimal memory consumption, privacy, and dependability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are on the lookout for exceptional talent to join our team.The OpportunityThe Data team at Liquid AI drives the development of our Liquid Foundation Models, focusing on pre-training, vision, audio, and emerging modalities. With the stagnation of public data sources, the effectiveness of our models increasingly relies on specially curated datasets. We are seeking engineers with a machine learning mindset who can efficiently gather, filter, and synthesize high-quality data at scale.At Liquid AI, we regard data as a research challenge rather than an infrastructural issue. Our engineers conduct experiments, design ablations, and assess how data-related decisions impact model quality. We will align you with a team where you can experience rapid growth and make a significant impact, be it in pre-training, post-training reinforcement learning, vision-language, audio, or multimodal applications.While we prefer candidates in San Francisco and Boston, we are open to considering other locations.What We're Looking ForWe are in search of a candidate who:Thinks like a researcher and executes like an engineer: You should be able to formulate hypotheses, conduct experiments, and evaluate results. Our engineers produce research-level code while our researchers implement production systems.Learns quickly and adapts: You will be working in rapidly evolving modalities, so the ability to quickly grasp new domains and thrive in ambiguity is essential.Prioritizes data quality: We hold data quality in high regard; tasks such as filtering, deduplication, augmentation, and evaluation are key responsibilities, not afterthoughts.Solves problems autonomously: Data engineers operate within training groups (pre-training and multimodal). While collaboration is crucial, we expect ownership and self-direction.The WorkDevelop and maintain data processing, filtering, and selection pipelines at scale.Establish pipelines for pretraining, midtraining, supervised fine-tuning, and preference optimization datasets.Design synthetic data generation systems utilizing large language models (LLMs), structured prompting, and domain-specific generative techniques.

About UsAt 3Y Health, we are pioneering AI-driven software solutions aimed at enabling healthcare providers to navigate the intricate administrative challenges that currently absorb 40% of the industry’s financial resources. Our comprehensive platform empowers clinician entrepreneurs, equipping medical professionals with the tools they need to establish, manage, and expand their private practices. By integrating cutting-edge AI and automation, we empower these independent practices to reclaim their time, cultivate successful businesses, and enhance health outcomes within their communities. Backed by over $200 million from prominent investors such as Founders Fund, General Catalyst, Softbank, and 8VC, we are on a mission to revolutionize healthcare.About the RoleWe are in search of an innovative AI Product Designer to conceptualize an Agentic system and AI agents tailored for the healthcare sector. The ideal candidate will possess a product-centric mindset, hands-on design experience, and a robust understanding of designing interactions for large language models (LLMs) and AI agents, including tool usage, function calling, retrieval-augmented generation (RAG), and evaluations. This role requires a proactive design leader capable of overseeing the entire delivery process of agentic workflows while collaborating effectively with cross-functional teams in sales, operations, marketing, recruitment, and product development. As our AI Product Designer, you will be responsible for shaping design strategies, information architecture, and the execution of both the agent platform and design system.ResponsibilitiesDesign comprehensive AI interfaces and agent workflows (including chat, tools, and actions) from initial problem framing to detailed user flows and high-fidelity designs in Figma, followed by production quality assurance.Collaborate closely with AI engineers to create interfaces capable of managing real-time data and dynamic outputs.Rapidly prototype using Figma (advanced prototyping), React, Replit, and Cursor; apply lightweight coding in HTML, CSS, and JavaScript or Framer when necessary; conduct usability tests, implement analytics, and iterate based on controlled experiments and session reviews.Transform complex laboratory tasks into user-friendly layouts and intuitive workflows.Foster innovation by identifying new AI design opportunities and developing ground-breaking designs that explore the boundaries of AI capabilities.Contribute to the strategic vision for AI at 3Y Health, shaping our roadmap and expanding AI functionalities throughout the organization.

About AnthropicAt Anthropic, we are dedicated to developing AI systems that are reliable, interpretable, and controllable. Our mission is to ensure that artificial intelligence remains safe and beneficial for individuals and society at large. Our rapidly expanding team comprises passionate researchers, engineers, policy experts, and business leaders collaborating to create positive AI solutions.About the TeamAs the scale of AI training and deployment increases, so does the volume of data that requires monitoring and comprehension. Our team utilizes Claude to interpret this data effectively. We manage an integrated suite of tools that empowers Anthropic to pose open-ended inquiries, identify unexpected patterns, and maintain significant human oversight over extensive datasets.Our tools are widely utilized internally, driving ongoing enforcement, threat intelligence investigations, model audits, and much more. We are seeking skilled engineers and researchers to enhance existing applications and innovate new ones from the ground up.About the RoleAs a Research Engineer on our team, you will design and develop systems that enable AI to analyze vast, unstructured datasets—think tens or hundreds of thousands of conversations or documents—and generate structured, reliable insights. You will engage with the entire technology stack, from foundational analysis frameworks to user-facing applications and interfaces.This is a high-impact position. The tools you create will be utilized by numerous researchers and investigators, directly influencing our capacity to assess and counteract both misuse and misalignment.