Lead AI Researcher at 1mind | San Francisco

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 Supe…

About UsAt 1mind, we are pioneering a cutting-edge platform that empowers revenue teams with multimodal Superhumans. These Superhumans integrate visual, vocal, and cognitive capabilities, equipped with comprehensive technical and product expertise. They engage in limitless, real-time conversations around the clock, ensuring that buyers are met when they are most active. Our Superhumans excel in qualifying leads, scheduling meetings, delivering compelling pitches, conducting interactive demos, managing objections, identifying pain points, crafting value models, offering support, and facilitating customer onboarding. They seamlessly integrate into websites, products, and live calls, collaborating with your team in deal rooms. 1mind Superhumans are designed to fit effortlessly into existing workflows, providing scalable solutions that drive measurable outcomes — enhancing revenue, streamlining teams, accelerating pipelines to success, and enriching the buyer experience.Job DescriptionWe are in search of a visionary Head of Product who will take charge of the product vision, strategy, and execution for our AI-native platform at 1mind. This role is ideal for a product leader with a robust background in building applied AI systems in live environments. We are not just looking for someone who can ship features powered by AI models but rather a professional who can design holistic intelligence systems encompassing context pipelines, retrieval systems, memory, tool orchestration, and evaluation loops that ensure AI is reliable, useful, and manageable.In this role, you will operate at various levels, defining the long-term product trajectory for our Superhuman platform, translating corporate strategy into actionable roadmaps, and collaborating extensively with engineering, AI, and design teams to deliver real-time, multimodal AI experiences. Your responsibilities will include overseeing the composition, grounding, evaluation, and evolution of intelligence throughout the product.As the company expands, you will also have the opportunity to build and lead the product organization, setting the standard for AI-first product development, execution excellence, and customer impact.

Join Perplexity as an AI Research Tech Lead, where you'll spearhead our research initiatives and oversee the advancement of our proprietary Online LLMs, the Sonar models. In this pivotal leadership position, you will define the overarching research strategy across various modalities, mentor a talented team of researchers, and leverage our extensive query/answer dataset to enhance Sonar model performance, delivering a state-of-the-art Online LLM experience for our users.Key ResponsibilitiesResearch Leadership & StrategyEstablish and implement the overarching research strategy across diverse modalities, including post-training LLMs for agent trajectories and future mid-training projects.Lead the strategic planning and roadmap development to enhance Sonar model functionalities.Innovate in supervised and reinforcement learning techniques aimed at optimizing query answering.Collaborate with executive leadership to align research goals with product and business strategies.Team Development & MentorshipGuide and mentor a team of AI research scientists and engineers, nurturing their technical and professional development.Set the long-term research direction for the team, encompassing various modalities.Lead the recruitment and onboarding of new research talent.Foster a collaborative atmosphere that promotes knowledge sharing and innovative thinking.Technical ExcellencePost-train cutting-edge LLMs focused on query answering using advanced supervised and reinforcement learning techniques.Own and enhance the complete data, training, and evaluation pipelines necessary for LLM post-training.Deliver Sonar models that achieve top-notch query answering performance.Lead research efforts into agent trajectories and multi-modal capabilities.Steer the technical roadmap for future mid-training investments.Cross-Functional CollaborationCollaborate closely with engineering teams to integrate Sonar models into our products.Work with product teams to discern user needs and translate them into research priorities.Partner with data teams to effectively utilize our unique query/answer dataset.Communicate research progress and findings to stakeholders and broader teams.

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 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.

Join the Future of AI at MercorAt Mercor, we find ourselves at the dynamic intersection of labor markets and artificial intelligence research. Our collaborations with top-tier AI laboratories and corporations empower us to deliver the crucial human intelligence that fuels AI advancement.Our expansive network of talent is akin to educators nurturing students; we impart knowledge, experience, and nuances that cannot simply be encoded. Currently, over 30,000 experts within our network generate upwards of $2 million daily.We are pioneering a novel category of employment where expertise drives the evolution of AI. To realize this vision, we require a driven, fast-paced, and exceptionally dedicated team. You will collaborate with researchers, operators, and cutting-edge AI firms that are shaping the future of societal systems.Mercor is a thriving Series C enterprise, currently valued at $10 billion. Our team operates in-person, five days a week, at our state-of-the-art headquarters in San Francisco.About the RoleLeading AI companies in Silicon Valley engage with Mercor to identify domain experts capable of training and assessing their models. As an AI Researcher at Mercor, you will be tasked with pushing the boundaries of model evaluation to enhance model performance across the industry, creating tangible economic value.You will regularly publish influential papers alongside industry leaders, have access to extensive resources for crafting impactful datasets, and engage with cutting-edge evaluation and training data. Collaborating closely with Mercor’s Forward Deployed Research, Applied AI, and Operations teams will provide you with unparalleled opportunities to assess leading models.We seek an accomplished AI researcher. A demonstrated history of publications in LLM evaluations is preferred, but we also value experience with other types of model evaluations or AI-related publications.Key ResponsibilitiesDevelop benchmarks that quantify the real-world impact of AI models.Publish LLM evaluation studies in top-tier conferences with the backing of Mercor’s Applied AI and Operations teams.Advance the understanding of data ROI in model development, encompassing multi-modality, coding, tool usage, and beyond.Design and validate innovative data collection and annotation solutions for leading industry labs and major tech firms.What We’re Looking ForA PhD or M.S. with 2+ years of professional experience in computer science, electrical engineering, econometrics, or a related STEM discipline that provides a robust foundation in machine learning and model evaluation.A strong publication record in AI research, particularly in model evaluation is essential.

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 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.

About Resolve AIAt Resolve AI, we are redefining the role of software maintenance and production troubleshooting by creating a revolutionary, fully autonomous AI Production Engineer. Our technology is designed to diagnose and resolve intricate system issues from start to finish.Founded by industry leaders Spiros Xanthos and Mayank Agarwal, who are the masterminds behind OpenTelemetry and have previously spearheaded initiatives at Splunk Observability, our team boasts two successful exits to Splunk and VMware.Having successfully secured over $150M in funding from prestigious investors like Lightspeed, Greylock, and Unusual Ventures, alongside notable individuals such as Jeff Dean (Chief Scientist, Google DeepMind) and Fei-Fei Li (Professor, Stanford), we are well-positioned for growth.Joining Resolve AI now presents a unique opportunity to be part of an AI-driven company that is at the forefront of transforming engineering workflows.

About Retell AI Retell AI builds voice AI technology for call centers, helping thousands of companies handle sales, support, and logistics calls with AI voice agents. Since launching 18 months ago, the company has grown annual recurring revenue from $5M to $50M, backed by investors including Y Combinator and Alt Capital. Our Mission By 2026, Retell AI aims to deliver a customer experience platform powered entirely by AI. The vision goes beyond basic automation: intelligent agents will take on roles as frontline workers, quality assurance analysts, and managers, improving customer interactions while reducing the need for ongoing human involvement. Recognition Ranked among the top 50 AI applications by a16z (a16z List) #4 on Brex's Fast-Growing Software Vendors of 2025 (Brex Benchmark) High placement on the Leana AI Leaderboard Working at Retell AI The team is expanding quickly and welcomes those who want to solve tough problems and help shape the future of voice AI. Retell AI is based in the San Francisco Bay Area and continues to grow as one of the industry's fastest-moving startups.

At Magic.dev, we are on a groundbreaking mission to develop safe artificial general intelligence (AGI) that propels humanity forward in tackling the world’s most pressing challenges. We believe that the key to achieving safe AGI lies in automating research and code generation, enabling us to enhance models and resolve alignment issues more effectively than human efforts alone. Our cutting-edge strategy incorporates frontier-scale pre-training, domain-specific reinforcement learning, ultra-long context, and advanced inference-time computation to realize this vision.If you are passionate about contributing to this mission and possess high-energy and creativity, we invite you to explore potential opportunities with us, even if they are not currently listed on our careers page. We welcome exceptional talent with open arms.

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

About Distyl AIDistyl AI specializes in developing robust AI systems that enhance core operational processes for Fortune 500 companies. Our strategic alliance with OpenAI, alongside proprietary software accelerators and extensive enterprise AI knowledge, enables us to deliver effective AI solutions swiftly—often within a quarter.Our innovative products cater to a variety of Fortune 500 clients across sectors, including insurance, consumer packaged goods, and non-profit organizations. As a member of our team, you will play a vital role in helping companies discover, build, and leverage value from their Generative AI investments, often for the first time. We prioritize a customer-centric approach, focusing on solving real challenges and ensuring both financial impact and enhanced user experiences.Distyl is spearheaded by experienced leaders from top firms such as Palantir and Apple, and is supported by notable investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (Former GitHub CEO), Brad Gerstner (Founder and CEO of Altimeter), and board members from numerous Fortune 500 companies.

About Liquid LabsAt Liquid AI, research has always been at the forefront of our mission. Liquid Labs serves as a dedicated internal research accelerator, facilitating groundbreaking advancements in the development of intelligent, personalized, and adaptive machines.Our roots extend back to MIT CSAIL, where pioneering work on Liquid Neural Networks established a new category of efficient sequence-processing architectures. This research laid the groundwork for our Liquid Foundation Models (LFMs), which are scalable, multimodal models designed for real-world applications in resource-constrained settings.In Liquid Labs, we continue this legacy by advancing the realm of efficient, adaptive intelligence through both fundamental research and practical engineering efforts.We collaborate closely with Liquid’s core foundation model and systems teams to turn theoretical concepts into deployable capabilities, setting the stage for a new era of powerful and efficient intelligent systems.About The Role:As a Research Engineer at Liquid Labs, you will be part of a dynamic, high-impact team pushing the boundaries of adaptive intelligence. You will be responsible for designing and implementing innovative architectures, training methodologies, and inference strategies to expand the potential of efficient AI.Your work will blend research and engineering, as you translate scientific concepts into functional systems, publish findings that advance the field, and deploy solutions that redefine what is achievable.While we prefer candidates from San Francisco and Boston, we welcome applications from other locations within the United States.

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.

Join Anthropic as a Transformative AI Research Economist, where you'll leverage your expertise in economic research to drive groundbreaking advancements in artificial intelligence. Collaborate with a team of dedicated professionals committed to ethical AI development, fostering innovative solutions that prioritize safety and alignment.

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.

At Sciforium, we are at the forefront of AI infrastructure, creating next-generation multimodal AI models and a proprietary high-efficiency serving platform. With substantial backing from AMD, our team is rapidly expanding to develop the complete stack necessary for cutting-edge AI models and real-time applications.About the RoleWe are on the lookout for a talented Senior Research Scientist with expertise in advanced AI and machine learning. This role entails spearheading innovative research projects focusing on large language models, generative media, model architecture, optimization, and scalable training systems. You will engage directly with contemporary ML frameworks, publish original research, and collaborate closely with engineering teams to transition impactful models into production. This position is perfect for a driven researcher excited about pioneering breakthroughs in AI.What You'll DoLead research initiatives in advanced machine learning topics such as LLMs, generative AI, foundational modeling, optimization strategies, diffusion models, and novel Transformer architectures.Design, implement, and assess new ML algorithms using frameworks like PyTorch and JAX.Conduct large-scale distributed training experiments utilizing multi-GPU/TPU systems and cutting-edge compute infrastructure.Enhance performance through debugging frameworks, optimizing speed, and refining training pipelines.Generate high-quality research outputs including academic papers, internal reports, patents, and reproducible code.Work collaboratively with engineering and product teams to convert research prototypes into robust production systems.Stay updated with the latest research advancements to incorporate state-of-the-art techniques into Sciforium's AI roadmap.Mentor junior researchers and actively contribute to fostering a world-class AI research culture.

About DepthFirst AIAt DepthFirst AI, we recognize that software underpins modern civilization, yet its vulnerabilities pose significant risks to integrity and security. Our mission is to enhance software security through innovative solutions.We are developing cutting-edge intelligence to identify and remediate critical software vulnerabilities, leveraging AI agents to discover zero-day vulnerabilities across extensive customer codebases and popular open-source software.Our founding team comprises industry leaders from DeepMind, Databricks, Square, and Faire, bringing unparalleled expertise in security and large language models (LLMs). We seek talented technical professionals eager to explore the intersection of AI, security, and infrastructure.Role Overview:We are looking for a skilled Research Engineer to contribute to the development and training of AI agents focused on vulnerability discovery and exploitation.Your work will be pivotal in creating technology capable of detecting vulnerabilities, akin to Log4J, at scale, ensuring the security of customer and open-source codebases.Ideal candidates will possess a strong engineering intuition, experience in model evaluation and benchmarks, with reinforcement learning experience being an added advantage. Your contributions will be instrumental in shaping a product that aims to revolutionize security practices for companies.Why You Will Love This Role:Develop Cutting-Edge AI pipelines tailored for the detection and exploitation of complex software vulnerabilities.Design and Maintain evaluation benchmarks that genuinely reflect the challenges faced by our users.Craft effective training methodologies and reinforcement learning environments for security coding agents.Be Part of a Solution to critical security challenges, with feedback from our valued customers revealing the immediate impact of our product.

About Chai DiscoveryAt Chai Discovery, we are pioneering advanced AI models that revolutionize molecular design and the drug discovery process. Our dedicated team is committed to reshaping the landscape of therapeutic development, with the ultimate goal of saving lives.Our founders consist of elite researchers and industry leaders who have made groundbreaking contributions to AI applications in biology. They have co-invented protein language modeling, developed cutting-edge folding algorithms, and created AI solutions adopted by top pharmaceutical firms. We are proud to be backed by prominent investors, including OpenAI, Thrive Capital, Dimension, Conviction, Lachy Groom, and Amplify.About the RoleWe are looking for an AI Research Engineer to collaborate closely with our research scientists in designing, training, evaluating, and optimizing the core models and infrastructure at Chai. Our models are evolving from mere protein structure predictions into real-world therapeutic engineering applications. This is a unique opportunity to advance the field of AI-driven drug design while being part of a passionate team that balances cautious optimism with bold vision.Develop and enhance the infrastructure and tools that support our AI research initiatives.Work alongside AI researchers to explore, implement, and refine emerging research directions.Integrate AI models into production environments, ensuring they are scalable and reliable.About YouThe ideal candidate will have a background in high-performance computing, GPU programming, and AI/ML with large-scale data systems.A Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline.Proficiency in programming languages such as Python, along with deep learning frameworks like PyTorch.A solid understanding of operating system internals.Familiarity with HPC infrastructure, including Slurm and Kubernetes.Experience in performance engineering and profiling for both CPU and GPU workloads.Proven ability in developing, building, and maintaining extensive ETL pipelines.We OfferInnovative Technology: Engage with cutting-edge technologies that have the potential to redefine therapeutic creation.Exceptional Team: Collaborate with renowned experts at the intersection of AI and biology.