AI Research Scientist at Chai Discovery | San Francisco

Join Chai Discovery as an AI Research ScientistAt Chai Discovery, we are pioneering the development of advanced AI models aimed at revolutionizing molecule design and transforming drug discovery processes. Our dedicated team is passionate about reimagining how new cures are developed, ultimately aiming to save lives.Founded by a collective of leading researchers and seasoned Silicon Valley operators, our team has achieved groundbreaking milestones in AI applications for biology. Our founders have made significant contributions to protein language modeling and cutting-edge folding algorithms, and have successfully partnered with top pharmaceutical companies to implement AI solutions. We are proud to be supported by prestigious investors such as OpenAI, Thrive Capital, Dimension, Conviction, Lachy Groom, Amplify, and more.Role OverviewAs an AI Research Scientist, you will engage in innovative research focused on computational modeling for biological applications. Our projects extend beyond protein structure prediction into actual therapeutic engineering, offering you the opportunity to advance the field of AI-driven drug design, alongside a team that embodies a balance of critical thinking and optimistic vision.Your ProfileWe are looking for a driven AI Leader with extensive research experience and a commitment to pushing boundaries in therapeutic design. The ideal candidate should possess:Research Expertise:A Ph.D. or equivalent research experience in Machine Learning, Computational Biology, Bioinformatics, Computational Chemistry, or a related discipline.A robust publication record in leading ML or life-science journals (e.g., NeurIPS, ICML, Nature Methods, PLoS Computational Biology, J. Chem. Inf. Model., etc.).Technical Proficiency:Fluency in Python and familiarity with deep learning frameworks.Experience in training and evaluating large models using protein, antibody, or small-molecule datasets, or demonstrable transferable ML skills.Experimental Design & Analysis:Ability to convert scientific inquiries into manageable modeling experiments.Competence in managing extensive biological or chemical datasets, deriving significant metrics, and presenting findings to varied audiences.Collaboration & Communication:A collaborative spirit, eager to work with cross-functional teams including wet-lab scientists, software engineers, and product leaders.

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.

About Chai DiscoveryChai Discovery is an innovative applied research laboratory dedicated to revolutionizing the future of medicine. Our flagship product is a cutting-edge design suite for molecular development, powered by our advanced models. We empower scientists to engineer drugs with remarkable precision, unlocking the potential for superior medicines that benefit humanity.Founded by pioneers in the field, we have successfully raised $230 million from esteemed investors including Thrive, General Catalyst, OpenAI, and Dimension. We collaborate with leading life sciences companies such as Eli Lilly, which have committed to multi-year, eight-figure annual revenue partnerships with our platform.Chai Discovery is recognized for its exceptional talent, rigorous research culture, and rapid execution.About the RoleAs a Forward-Deployed Scientist at Chai, you will serve as a key user and exploratory pilot, harnessing the full potential of our platform. You will develop a deep understanding of its capabilities and limitations, utilizing your intuition and creativity to address complex challenges and targets. You will join a distinguished team of biologists, computational scientists, and AI researchers.Your primary responsibility will be to ensure that our collaborations with global life sciences partners surpass their expectations. Acting as our eyes and ears on the ground, you will relay your insights back to the team, aiding in the refinement of our products, models, and methodologies. You will become a trusted expert on our partners’ scientific and therapeutic needs, representing the best of what they could hope for.This role presents a unique opportunity to challenge the frontiers of science and artificial intelligence, providing exposure far beyond what is typical in a single drug program or traditional life sciences company.About YouOur ideal candidate possesses a blend of antibody engineering and computational protein design knowledge and is highly adaptable. You operate with a sense of urgency and an inherent curiosity about science and technology. You have strong organizational abilities and are driven by a desire for progress.PhD or equivalent experience in Antibody Engineering, Computational Biology, or Protein Sciences.Hands-on experience in the design and characterization of antibody-based biologics, with proficiency in molecular biology workflows, binding assays, and structural inspection using tools like PyMOL.Demonstrated ability in communication, collaboration, and execution.Ability to thrive under pressure.We OfferAn opportunity to engage at the frontier of AI alongside world-class professionals, contributing to a mission that is both impactful and transformative.

Join Us at Chai DiscoveryAt Chai Discovery, we are pioneering applied research in artificial intelligence to revolutionize biology. Our advanced AI models are engineered to create innovative molecules for groundbreaking medicines. Our software platform is increasingly being utilized by scientists across various industries to develop drugs with unparalleled precision. Our ambition is to craft a comprehensive design suite for biology, impacting life sciences, agriculture, materials science, and beyond.Founded by leaders at the forefront of the field, we have secured $230 million in funding from prestigious investors including Thrive, General Catalyst, OpenAI, and Dimension. Collaborating with global life sciences giants like Eli Lilly, we are reshaping the landscape of our industry.Renowned for our exceptional talent, rigorous research, and rapid execution, we invite you to be a part of our dynamic team.Are You Ready to Make an Impact?We are in search of a remarkable individual to lead our talent acquisition efforts. This role requires someone who is endlessly curious, results-driven, empathetic, self-aware, and attuned to market dynamics. Your responsibilities will include:#1 Communicate Effectively.You will articulate our story and cultivate authentic relationships. Engaging in insightful discussions with various stakeholders will be second nature to you. You will immerse yourself in our mission and domain, representing our values and objectives with sincerity. Building trust through genuine interactions is crucial.#2 Innovate and Act Differently.We believe in challenging the status quo, and you do too. Your track record demonstrates a knack for thinking outside the box and executing unconventional strategies to achieve extraordinary results. You transform insights into actions, prioritize iteration over perfection, and balance urgency with creativity.#3 Create Something Remarkable.You will play a pivotal role in shaping our organization and ensuring the right talent fills each position. Your ability to identify polymaths, extraordinary talent, and exceptional visionaries will be invaluable. You are eager to deepen your expertise in every facet of our work and culture.What We OfferAn opportunity to operate at the cutting edge of AI, alongside world-class professionals, on meaningful projects. We champion a culture of speed and accountability while providing competitive compensation.

About Chai DiscoveryChai Discovery is at the forefront of innovation, crafting advanced AI models aimed at revolutionizing molecular design and transforming the landscape of drug discovery. Our dedicated team is passionate about reimagining how new cures are developed, with a vision to save lives.The founding team of Chai comprises distinguished researchers and leading Silicon Valley professionals. Our founders have achieved remarkable milestones in AI for biology, co-inventing protein language modeling, developing cutting-edge folding algorithms, and delivering AI solutions that are now utilized by top-tier pharmaceutical companies. We are proud to be supported by industry-leading investors, including OpenAI, Thrive Capital, Dimension, Conviction, Lachy Groom, and Amplify, among others.About the RoleAs the inaugural Product Designer at Chai, you will integrate pioneering AI models into user-friendly tools that are essential for scientific research. You will oversee the complete design process, encompassing user research, wireframes, high-fidelity mockups, design systems, and dashboards that scientists utilize to interact with models, visualize molecular structures, and analyze data with our AI integrated. Your expertise will drive product clarity, consistency, and user satisfaction in a complex and technical domain.With years of foundational research and development, Chai's models are advancing from protein structure prediction to practical therapeutic applications. This is your opportunity to launch the most sophisticated AI drug design models into the market, collaborating with a team that combines meticulous craftsmanship with a broad vision.

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 Chai DiscoveryChai Discovery is at the forefront of innovation, developing cutting-edge AI models that are revolutionizing the process of drug discovery. Our dedicated team is passionate about reimagining the future of medicine, aiming to save lives through advanced technology.Our founding team comprises distinguished researchers and top-tier professionals from Silicon Valley, who have achieved remarkable milestones in AI for biology. With a history of co-inventing protein language models and creating state-of-the-art algorithms, we are proud to be backed by prestigious investors such as OpenAI, Thrive Capital, and many others.About the RoleAs a Product Engineer, you will play a key role in developing the Chai software platform. This includes creating tools for scientists to query models, visualize molecular structures, and analyze data, all while integrating AI into the workflow. You will collaborate closely with designers, machine learning researchers, and laboratory teams to transform complex scientific processes into repeatable solutions. Your focus will be on delivering reliable, elegant, and practical products, both at the surface level and behind the scenes.With Chai's models evolving from foundational research to real-world therapeutic applications, you have the opportunity to help bring groundbreaking AI-driven drug design solutions to market, working with a team that embraces both meticulousness and visionary optimism.

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.

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.

RoleAs a Research Scientist at OpenEvidence, you will explore the potential of cutting-edge models, leveraging a strong research foundation to build practical systems rather than merely publishing papers. You will take ownership of projects from conception to execution, valuing evaluation and quantitative validation as integral components of your work.We seek exceptional innovators who are not confined to narrow specializations. Our engineers and scientists collaborate across diverse products and projects, driving impactful work wherever their skills can shine.About UsOpenEvidence is the leading medical AI platform globally, rapidly adopted by over 40% of US clinicians within just one year through organic, product-driven growth. With a valuation of $12B, our engineering team comprises 30 talented individuals from prestigious institutions like MIT, Harvard, and Stanford. We believe that transformative products emerge from a select group of exceptional builders who are empowered to take initiative and work swiftly toward focused goals. Join us as we embark on a unique opportunity to establish the standard platform for medical AI.CultureWe hold that work should engage at a world-class level. Building from 0 to 1 and scaling from 1 to 1000 is akin to a professional sport, where uncompromising excellence is the standard. We assert that the creation of unprecedented technologies requires complete ownership, and significant achievements arise when individuals commit to them.Who Are You?If your goal is to clock in and out with minimal engagement, this role is not for you. If you prefer to write papers rather than roll up your sleeves and get involved in creating impactful solutions that influence millions, this position may be your calling. The ideal candidate is a remarkable builder—intelligent, ambitious, resourceful, self-driven, meticulous, motivated, diligent, and humble. We recognize this profile is rare, which is why we have only identified 30 such individuals and are eager to find more.LocationAll engineering roles are in-person, requiring attendance five days a week in either San Francisco or Miami.

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

About Rezo TherapeuticsRezo Therapeutics is an innovative biopharmaceutical company dedicated to revolutionizing drug development. Our vision is to significantly enhance the success rate of drug discovery through a comprehensive, disease-agnostic network biology platform that transforms our understanding of human diseases and their treatments. We employ a unique, integrated strategy that merges genetics, proteomics, structural biology, and artificial intelligence to yield profound biological insights and to create novel therapeutic strategies. Situated in the vibrant Mission Bay neighborhood of San Francisco, Rezo enjoys proximity to UCSF, diverse urban amenities, and abundant outdoor recreational activities. We understand that our mission's success relies equally on our talented team and our scientific endeavors, which is why we are committed to fostering a collaborative, respectful, and diverse workplace where team contributions are as valued as individual accomplishments. If you are driven by team science and eager to dismantle barriers in drug development, we invite you to consider joining us!The OpportunityWe are seeking a Senior Scientist in Discovery Biology to join our esteemed Biology Team. In this pivotal role, you will collaborate with a multidisciplinary team of experts in genetics, proteomics, structural biology, and artificial intelligence to address complex biological challenges and develop groundbreaking therapies. This is an exceptional opportunity to apply your expertise in cancer biology to design and implement advanced cellular assays for target validation and compound screening. By joining Rezo at this exciting stage, you will have the opportunity to make a significant impact in a dynamic, collaborative setting.

Join Mercor as a Data ScientistAt Mercor, we stand at the forefront of labor markets and artificial intelligence research. We collaborate with top-tier AI laboratories and businesses to infuse the human intelligence crucial for the evolution of AI.Our expansive talent network empowers frontier AI models, mirroring the way educators impart knowledge: sharing insights and experiences that transcend mere coding. Currently, our network boasts over 30,000 experts generating more than $2 million daily.We are pioneering a new work paradigm where specialized expertise drives AI progress. To realize this vision, we seek a dynamic, fast-paced, and dedicated team. You will collaborate with leading researchers, operators, and AI companies, playing a pivotal role in the systems that are reshaping society.As a profitable Series C company, Mercor is valued at $10 billion and operates from our new headquarters in San Francisco with an in-office work schedule five days a week.Your RoleIn your first year, you will implement analyses and experiments that enhance key product metrics, including match quality, time-to-hire, candidate experience, and revenue. Your responsibilities will include:Establishing north-star and feature-specific metrics for our ranking systems, interview analytics, and payout frameworks.Designing and executing A/B tests and quasi-experiments, translating results into product decisions within the same week.Creating source-of-truth dashboards and streamlined data models to enable teams to self-serve answers.Collaborating with engineers to instrument events, enhancing data quality and latency from ingestion to insights.Rapidly prototyping models (from baseline models to gradient boosting) to optimize matching and scoring.Assisting in the evaluation of LLM-powered agents through the design of rubrics, human-in-the-loop studies, and guardrail mechanisms.What Makes You a Great FitYou possess strong foundational skills in statistics, SQL, and Python, alongside projects you are eager to showcase. You adapt swiftly, frame inquiries, test hypotheses, and deliver results within a day, valuing clarity in communication as much as statistical significance. A keen interest in LLM evaluation, retrieval, and ranking is a plus; you will learn alongside professionals from renowned firms such as Jane Street, Citadel, Databricks, and Stripe.

About Retell AI Retell AI builds voice AI technology that helps businesses transform their call center operations. In just 18 months, thousands of companies have adopted Retell’s AI voice agents to streamline sales, support, and logistics, work that once required large human teams. Backed by investors including Y Combinator and Alt Capital, Retell has grown annual recurring revenue from $5M to $36M with a focused team of 20. The company’s goal for 2026: a modern customer experience platform where AI powers entire contact centers. Retell is developing AI “workers” that can serve as frontline agents, quality assurance analysts, and managers, handling, evaluating, and improving customer interactions on their own. 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 on the Lean AI Leaderboard: https://leanaileaderboard.com/ Role Overview: Research Scientist – LLM Retell AI is hiring a Research Scientist focused on large language models (LLMs) and audio processing. This role suits machine learning researchers who want to push the boundaries of real-time AI and see their work in production. What You Will Do Investigate new approaches in large language models and audio processing for human-like voice agents Design and implement evaluation methods for complex, real-world conversational systems Prototype systems to improve reasoning, reduce latency, and enhance conversation quality Work closely with engineering and product teams to bring research advances into production Impact Research at Retell directly shapes the capabilities of voice AI agents for thousands of businesses. The work blends advanced research with practical deployment, improving how customers interact with automated systems across industries. Location This position is based in the San Francisco Bay Area.

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.

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.

Join Our Team as a Research ScientistAt Parallel, we are at the forefront of web infrastructure innovation, enabling businesses across sectors such as sales, marketing, insurance, and technology to harness the power of AI. Our state-of-the-art products empower users to develop superior AI agents with seamless and flexible access to the web.With significant backing of $130 million from prominent investors like Kleiner Perkins, Index Ventures, and Spark Capital, we are dedicated to redefining the web for artificial intelligence. As we expand, we're assembling a top-tier team of engineers, designers, marketers, sales experts, researchers, and operational specialists committed to our vision.Your Role: As a Research Scientist, you will tackle the challenge of training and scaling models designed to enhance web indexing capabilities.About You: You possess a profound understanding of contemporary models and training methodologies. You enjoy engaging in discussions about the convergence of search, recommendations, and transformer models, and are passionate about translating your research into impactful products and systems utilized by millions.

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

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.

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.