Research Scientist

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 Parallel as a Deployed Engineer, where you will play a pivotal role in delivering innovative solutions and ensuring the seamless deployment of our technologies. This position offers the opportunity to work on cutting-edge projects that impact how we interact and engage with the world around us.

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 Our Innovative TeamAt Parallel, we are revolutionizing web infrastructure. Our cutting-edge products empower leading businesses across sales, marketing, insurance, and coding sectors to seamlessly develop top-tier AI agents with versatile programmatic access to the web.Backed by an impressive $130 million from top-tier investors including Kleiner Perkins, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain, we are on a mission to shape the future of the web for AIs. We are assembling a world-class team of engineers, designers, marketers, sales professionals, researchers, and operational experts to bring this vision to life.Your Role: As our first design hire, you will have the unique opportunity to craft and showcase the incredible capabilities of Parallel’s powerful APIs. You will also design an engaging developer playground and extend our brand across various platforms, ensuring a cohesive and intentional user experience.Your Profile: You are passionate about creating experiences that blend beauty and functionality. Your portfolio demonstrates end-to-end ownership from initial design concepts to final polished products. With a keen eye for both product and brand design, you are detail-oriented and committed to making interfaces delightful. You thrive at the intersection of usability and identity and aspire to have your work appreciated by millions.

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.

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.

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.

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 NudgeNudge is on a transformative mission to harness advanced technology that interfaces with the brain to enhance human life. Our pioneering focus is on creating a cutting-edge, non-invasive ultrasound device capable of stimulating and imaging the brain with unparalleled resolution. This initiative integrates innovative hardware, software, and research methodologies to develop life-changing products that can eventually benefit millions, if not billions, of individuals.About the RoleAs a Research Scientist specializing in Cell Biology at Nudge, you will:Innovate techniques to characterize the mechanisms by which ultrasound affects neural tissue.Design and conduct in vitro experiments to assess the influence of ultrasound on cellular characteristics, activity, and plasticity.Optimize ultrasound parameters to enhance cellular activity and promote plasticity.Translate findings from in vitro studies to guide human neuromodulation research.About YouWe are looking for research scientists at various stages of their careers. Regardless of your level, you should possess:A PhD or postdoctoral experience in neuroscience, molecular/cellular biology, biomedical engineering, or a related field.Expertise in neural cell culture or slice methodologies, with a preference for human neural iPSC techniques.Experience in calcium imaging, functional imaging analysis, two-photon microscopy, or other advanced imaging techniques.Proficiency in electrophysiology, voltammetry, or other neural recording methodologies.A proven track record of significant technical contributions.A commitment to high integrity and ethical research practices.

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.

Join our dynamic team at mindlance2 as an Associate Scientist. In this pivotal role, you will contribute to groundbreaking research and development projects, collaborating with a talented group of professionals dedicated to innovation and scientific advancement.As an Associate Scientist, you will engage in experimental design, data analysis, and interpretation of results, ensuring the highest standards of scientific integrity. This position offers an exciting opportunity to grow your skills and make significant contributions to our projects.

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.

Merge Labs is an innovative research facility dedicated to merging biological sciences and artificial intelligence to enhance human capability, autonomy, and experience. Our mission is to pioneer revolutionary methodologies in brain-computer interfaces that facilitate high-bandwidth interactions with the brain, seamlessly integrate advanced AI, and maintain safety and accessibility for all users.About the TeamAt Merge, we are addressing some of the most ambitious challenges in molecular engineering, synthetic biology, and neuroscience. Our Research Platform Team is responsible for creating the experimental frameworks necessary to tackle these challenges with exceptional speed and precision. The tools and methodologies developed by our team significantly enhance molecular assembly, protein expression, mammalian cell culture, advanced microscopy, sequencing, and unique custom techniques. We collaborate with program teams to establish and optimize these capabilities, implement automation where beneficial, and integrate with our data science and machine learning pipelines, continuously pushing the boundaries of throughput and innovation.About the RoleAs a Platform Scientist, you will be instrumental in developing high-efficiency and high-throughput experimental pipelines that accelerate research initiatives. You will work closely with program leads, project scientists, data scientists, and engineers, leading your work and potentially recruiting additional team members as necessary.Key Responsibilities:Collaborate with program leads and scientists to identify critical experimental requirements and workflows.Develop processes to facilitate high-throughput and/or high-efficiency experiments, including reagent production and analysis.Scope, procure, construct, program, and validate instruments to support experimental workflows.Ensure the quality, reliability, and integrity of data generated from automated pipelines, including defining and implementing suitable quality control checkpoints.Work alongside data science and machine learning engineers to incorporate metadata tracking, computational design, and analysis into experimental pipelines.Partner with electrical, mechanical, and software engineers to create custom setups.Innovate and validate concepts to enhance experimental throughput.

The traditional credit landscape often favors those who are already financially secure, imposing stringent requirements for credit history, collateral, and expensive underwriting processes. Unfortunately, this leaves over 1.4 billion individuals without access to essential credit services. Consider a vendor in Lagos, who earns cash daily but lacks the documentation to prove a consistent income, or a Colombian nurse with impeccable informal repayment history, yet remains overlooked by banks.At Divine Research, we have developed an innovative solution known as Credit. Launched in December 2024, we have already provided hundreds of thousands of undercollateralized loans utilizing stablecoins. These loans have empowered individuals globally to cover essential expenses such as groceries, healthcare, and transportation. With a robust backing of $6.6 million from Paradigm and Nascent, we are scaling our system which has successfully assisted half a million unique borrowers. Join us in elevating our mission further.About the RoleWe are on the lookout for a skilled Data Scientist to enhance our data infrastructure and extract actionable insights across our product offerings, specifically focusing on Credit, our premier undercollateralized lending platform. In this role, you will be responsible for designing key metrics, building analytics infrastructure, and converting on-chain data into strategic insights that influence product development and roadmap decisions.Technology StackPythonSQLGrafana/PrometheusStatistical modeling and visualization toolsBlockchain data and indexing tools (Dune, Shovel)Key ResponsibilitiesCollaborate with product and research teams to establish north star metricsDevelop scalable data pipelines and dashboardsTranslate key metrics and trends into practical guidance for product development, strategy, and go-to-market initiativesDesign and analyze A/B tests and experimental studiesConduct comprehensive analyses of user behaviors and usage patternsQualifications4+ years of experience in a Data Scientist or Research Analyst roleStrong proficiency in Python, SQL, and various data analysis toolsIn-depth understanding of EVM-compatible chains, smart contract data, and indexing toolsExcellent problem-solving skills and attention to detailAbility to communicate complex data insights to non-technical stakeholders

What We Are Creating:At Medra, we are committed to harnessing the power of AI, robotics, and biology to expedite life science research, with the ultimate vision of eliminating diseases. We are in the process of developing our innovative Physical AI Scientist platform: A Physical AI capable of operating scientific instruments with remarkable human-level precision. A Scientific AI designed to autonomously analyze results, reason about subsequent steps, and complete the scientific loop.This is an ambitious endeavor, but we are confident that a team of dedicated individuals with a sense of ownership can achieve remarkable outcomes.Role Overview:As a scientist on our client-facing team, your primary goal will be to integrate closely with your scientific peers at our customer sites, acting as a true collaborator to ensure that the Medra platform is delivering scientific results and adding value to their organization. You will immerse yourself in the scientific needs of our customers, employing the scientific method (hypothesis formulation, experimental design, analysis) to validate the effectiveness of our Physical AI Scientist platform within their workflows. You will maintain continuous communication with our end users (scientists) to anticipate and address any challenges, while also relaying insights and feedback back to the company to inform product enhancements.Internally, you will collaborate closely with the engagement manager and deployed engineers to ensure a successful implementation. You will work alongside a distinguished team of robotics, software, and hardware engineers, providing scientific oversight throughout the scoping, building, and deployment phases. You will become a super-user of our platform, understanding its capabilities and constraints, and applying creativity and scientific intuition to tackle complex problems.We seek an individual who acts with urgency and thrives in high-pressure environments. This is a rare opportunity to leverage your expertise to effect transformative changes in drug discovery through artificial intelligence and robotics, offering significantly more exposure than traditional biotech or pharmaceutical roles.Key Responsibilities:Serve as the scientific subject matter expert - comprehend customer needs and provide biological insights to steer scoping, product development, and prioritization of features.Design and conduct wet-lab experiments to validate Medra’s autonomous Physical AI against scientific KPIs and metrics.Collaborate with cross-functional teams to ensure product alignment with scientific objectives.

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.

Zyphra is a pioneering artificial intelligence firm located in the vibrant city of San Francisco, California.About the Role:We are seeking a passionate Research Scientist to join our dynamic Agency and Reasoning Team at Zyphra. In this role, you will conduct cutting-edge research in reinforcement learning, post-training methodologies, and human preference learning. Your innovative ideas will be instrumental in shaping our next-generation language models, enabling their application on a large scale.What We Desire:A strong sense of research intuition and tasteCapability to navigate a research project from initial concept to execution and documentationProficiency in implementation and prototypingA quick thinker who can rapidly transform ideas into experimental frameworksAbility to collaborate effectively in a fast-paced research environmentAn insatiable curiosity and enthusiasm for the study of intelligence.Qualifications:Proven experience and skill in reinforcement learning, particularly in the context of language model reasoning or classical RL tasksFamiliarity with language-model-supervised fine-tuning and preference-learning techniques, such as DPO and simPO.Experience with methods for context-length extensionStrong intuitive understanding of model behaviors, with the ability to refine them through iterative fine-tuningInterest in engaging deeply with data and dedicating time to data engineering and synthetic data generationA postgraduate degree in a scientific discipline (Computer Science, Electrical Engineering, Mathematics, Physics)Published research in reputable machine learning venuesExpertise in PyTorch and PythonEagerness and aptitude for rapidly acquiring new knowledge and implementing innovative conceptsExceptional communication and teamwork abilities, capable of contributing to both research and large-scale engineering effortsWhy Join Zyphra?We champion creative and unconventional ideas and are prepared to invest significantly in innovative concepts.Our culture fosters collaboration, curiosity, and intellectual growth.

Zyphra is a cutting-edge artificial intelligence firm headquartered in the vibrant city of San Francisco, California.Position Overview:As a Research Scientist specializing in Model Architectures, you will play a pivotal role in Zyphra’s AI Architecture Research Team. Your responsibilities will include the design and thorough evaluation of innovative model architectures and training methodologies aimed at enhancing essential modeling capabilities (e.g., loss per flop or loss per parameter) and tackling core limitations inherent in current models. You will collaborate closely with our pre-training team to ensure that your findings are seamlessly integrated into our next-generation models.Qualifications:A strong research acumen and intuition.Proven ability to navigate research projects from initial conception to execution and final write-up.Exceptional implementation and prototyping skills, with the capability to swiftly transform ideas into experimental outcomes.A collaborative spirit and the ability to thrive in a fast-paced research environment.A deep curiosity and enthusiasm for understanding intelligence.Requirements:Experience with long-term memory, RAG/retrieval systems, dynamic/adaptive computation, and alternative credit assignment strategies.Knowledge of reinforcement learning, control theory, and signal processing techniques.A passion for exploring and critically evaluating unconventional ideas, with the ability to maintain a unique perspective.Familiarity with modern training pipelines and the hardware necessities for designing efficient architectures compatible with GPU hardware.Strong understanding of experimental methodologies for conducting rigorous ablations and hypothesis testing.High proficiency in PyTorch and Python programming.Ability to quickly assimilate into large pre-existing codebases and contribute effectively.Prior publication of machine learning research in reputable venues.Postgraduate degree in a scientific discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Physics).Why Join Zyphra?We emphasize a structured research methodology that systematically addresses ambitious challenges in AI.

OverviewBecome an integral part of our dynamic R&D team dedicated to developing fully automated research systems that push the boundaries of AI. Zochi has achieved a milestone by publishing the first entirely AI-generated A* conference paper. Locus has set a new industry standard as the first AI system to surpass human experts in AI R&D.Key ResponsibilitiesConceptualize and develop innovative architectures for automated research.Work collaboratively within a specialized team of researchers addressing cutting-edge challenges in long-horizon agentic capabilities, post-training for open-ended objectives, and environment crafting.Document and publish key internal findings alongside success stories from external collaborations.QualificationsPhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline. Outstanding candidates with significant research contributions are encouraged to apply, regardless of formal qualifications.Demonstrated history of impactful AI/ML research contributions in academic or corporate environments.Expertise in developing long-horizon, multi-agent systems and/or model post-training, especially in scientific domains or for open-ended discovery objectives.A strong passion for advancing problem-solving processes and scientific discovery, thriving in high-autonomy roles and environments.Our CultureCompetitive compensation and equity options.Unlimited Paid Time Off (PTO), emphasizing team collaboration and a community-focused workplace.Opportunities for conference participation and engagement in community initiatives.Empowered roles with high levels of responsibility.#1: We are a small, passionate team of leading investors, researchers, and industry experts committed to the mission of accelerating discovery. Join us.