General Application at Divine Research | San Francisco

The traditional credit system often excludes those who need it the most, imposing barriers like credit history and collateral requirements. Over 1.4 billion individuals worldwide lack access to credit facilities. Consider the vendor in Lagos, earning daily but unable to prove a steady income, or the Colombian nurse with an impeccable record of informal repay…

Are you a talented individual seeking new opportunities? If your desired role isn't listed, we encourage you to submit your resume. Our team is always on the lookout for exceptional talent!About CorridorThe landscape of software development has been transformed by AI, yet security has struggled to keep pace - until now. Corridor is at the forefront of revolutionizing product security, allowing security measures to advance alongside coding practices. Our team stands at the nexus of AI and cybersecurity, comprised of leaders who have directed security at some of the globe's most significant organizations and contributed AI research at Stanford University.CEO Jack Cable is a distinguished bug bounty hunter and former leader of Secure by Design at CISA.CTO Ashwin Ramaswami has extensive experience in engineering large-scale systems at Skiff, Caldera, and Nooks, and has also published AI and foundation model research at Stanford.

We appreciate your interest in NomadicML through our General Application listing!Currently, we may not have a specific role that matches your expertise, but we are eager to keep your application on file for future openings. By filling out the form below, you will join our candidate database, and we will reach out should a position that aligns with your skills and experience become available.In the meantime, we encourage you to visit our job board regularly for new opportunities.

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

Join the Innovative Team at Resolve AIAt Resolve AI, we are revolutionizing the way software maintenance and production troubleshooting are approached. Our mission is to develop a groundbreaking, fully autonomous AI Production Engineer that can autonomously identify and resolve intricate system challenges from start to finish.Founded by industry pioneers Spiros Xanthos and Mayank Agarwal, who were instrumental in creating OpenTelemetry and steering Splunk Observability, our team has a proven track record with two successful exits to Splunk and VMware.With over $150M raised from prestigious investors such as Lightspeed, Greylock, Unusual Ventures, and renowned backers like Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn), and Fei-Fei Li (Professor, Stanford), our journey is just beginning.If you're enthusiastic about our mission but don't see a current position that aligns with your skills, we encourage you to apply here. We may have future opportunities that would be a perfect fit!

About Flow EngineeringFlow Engineering is pioneering the future of hardware systems development. Our mission is to transform how humanity designs and builds its most essential machines.Supported by Sequoia Capital and notable angel investors like Patrick & John Collison (Stripe), David Helgason (Unity), and Kyle Parrish (Figma), we are at the forefront of innovation.Flow is the leading requirements tool in complex systems engineering, utilized by advanced sectors such as space exploration, defense, automotive, and robotics. Our contributions will be pivotal as humanity ventures back to the Moon, harnesses fusion energy, or establishes the first interplanetary colony. Why Join Us?At Flow, we seek individuals who challenge the status quo, innovate fearlessly, and tackle complex problems, even if no specific role is currently available. If our mission resonates with you and you envision a way to contribute meaningfully, we would be eager to connect.You will have the opportunity to shape your own career journey within a dynamic, rapidly expanding environment. If there is a strong match, we will collaborate to define a role that aligns with your talents and our strategic needs.Please send us your resume along with a brief note highlighting your strengths and proudest achievements. Our ValuesSpeed is our Superpower: We believe that urgency in our work is essential. This discipline empowers us to achieve remarkable results.Own, Downscope, Ship, Iterate: We embrace rapid cycles of development, focusing on delivering a minimum viable product quickly and learning from user feedback. Success comes from our commitment to execution.Master the Fundamentals: Success stems from mastering the basics while prioritizing simplicity and clear communication.Disagree and Commit: We encourage robust discussions and quick decision-making to maintain our momentum.Enjoy the Journey: We believe in celebrating the growth and challenges we encounter along the way.

Join Us in Shaping the Future of AI!If you are passionate about our innovative work but don't see a specific role that fits your profile, we encourage you to apply here. At Applied Compute, we prioritize collaborating with exceptional individuals who resonate with our mission.About UsWe specialize in developing Specific Intelligence for enterprises, creating agents that perpetually learn from a company's processes, data, expertise, and objectives. Despite advancements in AI, there remains a significant disparity between the capabilities of AI models in isolation and their performance within real-world business contexts. Our solution is to build a continual learning layer—a platform that captures context, memory, and decision pathways across enterprises, enabling specialized agents to effectively perform tasks.Our ExcitementWe operate at an extraordinary intersection of innovation. Our product team designs the platform that fuels a new generation of digital colleagues, while our research team explores the cutting-edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with customers to implement models in production. This unique blend of strong product focus, in-depth research, and hands-on engagement with customers is essential for integrating AI into enterprises. We pride ourselves on being product-led, research-enabled, and forward-deployed.Our TeamOur team comprises engineers, researchers, and operators, many of whom are former founders. We have experience building RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are supported by renowned investors like Benchmark, Sequoia, and Lux.Who Thrives HereWe seek individuals eager to apply groundbreaking research and complex systems to tackle real-world challenges. You should be adept at quickly navigating unfamiliar environments, whether it's a new codebase, a customer's data architecture, or an entirely new problem domain. A genuine passion for working with customers—listening, empathizing, and understanding their organizational workflows—is essential. Those with a background as former founders, experience in numerous side projects, or a strong ability to manage tasks end-to-end typically excel in our environment.

Join Our Team at BlacksmithAt Blacksmith, we have revolutionized the way Continuous Integration (CI) workloads are managed, delivering speed and cost-efficiency. Our pioneering product significantly accelerates GitHub Actions by utilizing our own global fleet of bare-metal machines.In just under two years, we have achieved remarkable growth, orchestrating tens of millions of Firecracker VMs monthly for over 1,200 companies, culminating in approximately $10 million in annual recurring revenue (ARR).With a vast network of thousands of bare-metal machines across multiple regions, we concurrently manage over 30,000 vCPUs, all while operating a petabyte-scale Ceph cluster that we oversee directly.Having successfully raised $13.5 million in funding from esteemed investors, including Google Ventures (GV), we are committed to building a small yet exceptional team.Our founders bring extensive experience in systems and scaling, having previously built search and advertising infrastructure at Faire and operated large-scale distributed systems at Cockroach Labs, with our go-to-market strategy led by Jon Boyer, the former Head of Sales at Zapier.We are excited to expand our CI infrastructure into a comprehensive platform, including the large-scale operation of agent sandboxes and the development of our own background coding agent.

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.

Join the Center for AI Safety (CAIS), a pioneering research and advocacy organization dedicated to addressing the societal-scale risks posed by artificial intelligence. We tackle the most pressing challenges in AI through rigorous technical research, innovative field-building initiatives, and proactive policy engagement, in collaboration with our sister organization, the Center for AI Safety Action Fund.As a Research Scientist, you will spearhead and conduct transformative research aimed at enhancing the safety and dependability of cutting-edge AI systems. Your responsibilities will include designing and executing experiments on large language models, developing the necessary tools for training and evaluating models at scale, and converting your findings into publishable research. You will work closely with CAIS researchers and external partners from academia and industry, utilizing our compute cluster for large-scale model training and evaluation. Your research will focus on critical areas such as AI honesty, robustness, transparency, and the detection of trojan/backdoor behaviors, all aimed at mitigating real-world risks associated with advanced AI technologies.

About MercorMercor sits at the forefront of labor markets and artificial intelligence research, collaborating with premier AI laboratories and enterprises to harness the human intelligence crucial for AI evolution.Our expansive talent network empowers the training of cutting-edge AI models, akin to how educators impart knowledge to students—sharing insights, experiences, and contexts that transcend mere code. Currently, our network comprises over 30,000 experts, generating collective earnings exceeding $2 million daily.At Mercor, we are pioneering a unique category of work where expertise fuels AI progress. Realizing this vision necessitates a bold, fast-paced, and deeply dedicated team. You will collaborate with researchers, operators, and AI firms that are at the vanguard of transforming systems that redefine society.As a profitable Series C company, Mercor is valued at $10 billion and maintains an in-office presence five days a week at our new headquarters in San Francisco.About the RoleIn your capacity as a Research Engineer at Mercor, you will operate at the intersection of engineering and applied AI research. You will play a pivotal role in post-training and Reinforcement Learning from Human Feedback (RLVR), synthetic data generation, and large-scale evaluation workflows essential for advancing frontier language models.Your contributions will help train large language models to adeptly utilize tools, exhibit agentic behavior, and engage in real-world reasoning within production environments. You will be instrumental in shaping rewards, conducting post-training experiments, and constructing scalable systems to enhance model performance. Your responsibilities will also include designing and evaluating datasets, creating scalable data augmentation pipelines, and developing rubrics and evaluators that expand the learning potential of LLMs.

Join Terac: The Leading Expert Network for Cutting-Edge ResearchAt Terac, we empower teams to achieve rapid research breakthroughs through our dynamic marketplace of verified experts. Our mission is to develop sophisticated agents that recruit, validate, and match thousands of experts with myriad opportunities from the world’s most pioneering organizations.We partner with top-tier enterprises and are supported by prominent investors.Role OverviewWe are excited to announce that we are seeking our inaugural General Manager of Market Research at Terac. In this pivotal role, you will oversee the entire market research vertical—from initial customer engagement to deal closure and project execution. You will help craft the strategic playbook, build your team, and shape Terac’s competitive edge in a vast and traditional industry. Collaborating directly with our CEO, you will be instrumental in scaling our operations. The ideal candidate is a results-driven strategist with industry expertise, eager to embark on a career-defining journey at a rapidly growing startup.Your Responsibilities:Manage the complete market research sales cycle, including prospecting, lead qualification, discovery calls, deal closures, and ensuring client satisfaction post-sale.Act as the primary representative of Terac to our market research clientele.Develop and lead the post-sales market research team, hiring project managers, research consultants, and panel operations specialists as demand increases.Recruit, train, and inspire your team, setting high standards and ensuring everyone meets them.Your Profile:Extensive domain knowledge in market research, consumer insights, or related fields.Demonstrated success in selling and closing complex deals with enterprise clients.Experience in building and leading a services or delivery team, with a proven track record in hiring, onboarding, and accountability.Outstanding communication abilities.Position Details:Our team operates in-person six days a week in our San Francisco office.Compensation: Competitive salary, meaningful equity vested over four years, $10,000 relocation bonus (for relocating to the Bay Area), and an additional $5,000 housing bonus (if you move within 0.5 miles of our office). Health, Dental, and Vision insurance, along with a 401(k) plan with company matching.Company Culture: Engage in weekly presentations, company hackathons, and an AI-first approach while collaborating with one of the most innovative teams in the industry.

ConduitAt Conduit, we are at the forefront of developing a crypto-native cloud platform designed to enhance the scalability of Ethereum.The challenges faced by crypto developers stem from insufficient on-chain computing power. Without the capacity to efficiently process a high volume of transactions at minimal costs, on-chain applications and ecosystems struggle to deliver a superior user experience.Rollups have emerged as a transformative solution. Much like how servers collaborate to enhance computing power in traditional web applications, rollups can similarly scale on-chain computation in the realm of web3. However, the process of establishing and managing your own rollup can be complex and time-intensive. That’s where Conduit steps in.As the leading rollup-native cloud platform, Conduit merges the best practices of web2 engineering with innovative web3 rollup technology, making it accessible for anyone to launch and maintain their own blockchain. By simplifying infrastructure and ensuring abundant on-chain computing resources, akin to what AWS and GCP achieved for web2, we aim to ignite the next wave of innovation within the crypto ecosystem.Since its launch in 2023, the Conduit platform has experienced tremendous growth. We operate the largest chains in production, which include Proof of Play, Zora, Aevo, and more. Currently, we are managing over 200 chains across both mainnet and testnet, with a total value locked (TVL) exceeding $1 billion. We are pushing the boundaries of blockchain scalability and modularity in collaboration with our customers and integration partners.Our rapid success has been further fueled by a $37 million Series A round, co-led by Paradigm and Haun Ventures — two of the most reputable investors in the industry.Our elite team is comprised of former professionals from renowned companies such as Meta, Brex, Wish, Compound, Chainalysis, Immunefi, Amazon, Avara/Aave, Paradigm, and beyond. Our headquarters is located in San Francisco, but our team spans the globe.We are seeking ambitious, skilled builders who are eager to help scale Ethereum and democratize crypto computing. Join us!If you don’t find a job listing that matches your skills, we encourage you to apply and explore potential collaboration opportunities!Conduit is an equal opportunity employer and does not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, or any other protected status.

Join our dynamic team at bcforward3 as an Application Architect. In this pivotal role, you will leverage your expertise to design and implement innovative software solutions that drive business success. Your contributions will be integral in shaping our technology landscape and enhancing client satisfaction.

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.

HUD builds infrastructure for generating and evaluating reinforcement learning (RL) training data for advanced AI agents. The team is also developing a marketplace to connect leading labs with high-quality training data. HUD's platform serves frontier labs, Fortune 500 companies, and startups. The company is backed by $15M in funding from top venture capital firms and is part of Y Combinator's W25 cohort. Role overview HUD is seeking Research Engineers in San Francisco to help strengthen quality assurance for training data produced by partner organizations. This position centers on building systems that maintain and improve data quality as demand increases. What you will do Set and uphold quality standards for training datasets. Develop tools and workflows for auditing datasets from suppliers, including sampling methods, validation pipelines (using rules and models), and feedback systems. Assess and refine human-in-the-loop review processes to support quality assurance. Collaborate with data vendors to resolve quality issues, share insights, and encourage better data generation practices. Integrate QA findings into internal tools and the data vendor portal to reduce anomalies, inconsistencies, and edge cases. Requirements Strong skills in Python, Docker, and Linux environments. Experience working with large datasets. Ability to learn quickly and adapt in technical contexts, such as programming competitions. Background in early-stage tech startups and ability to work independently. Familiarity with modern AI tools and large language models (LLMs). Clear communication skills for collaborating remotely across time zones. Preferred qualifications Understanding of common issues in training data. Background in building data validation pipelines or human-in-the-loop review systems. Strong attention to detail, with the ability to identify subtle data inconsistencies or edge cases. Experience designing metrics, experiments, and QA processes, not just executing them.

-- Are you seeking an opportunity to join our innovative team but can’t find the perfect position? Submit your application here! --At dryft, we specialize in creating intelligent systems that streamline complex human decisions in manufacturing operations.Our small, highly skilled team boasts diverse backgrounds, with a shared passion for the physical world encompassing cars, machines, and planes. Our team includes alumni from Stanford, Berkeley, CDTM, TUM, winners of Stanford TreeHacks, and recipients of prestigious Fulbright & Haniel scholarships, along with innovators who have developed everything from robots and race cars to widely-used software.We are proudly supported by industry leaders and founders from companies such as Amazon, Facebook, Stripe, Applied Intuition, and others; alongside investors like General Catalyst and Neo, as well as board members from major global industrial firms.Currently, we are already saving our clients millions, yet this is merely the beginning. While ERPs dominated the physical world for the past fifty years, dryft is leading the way into the future.

Role Overview Prosper is looking for a User Experience Researcher in San Francisco. This position focuses on studying user behavior and improving digital products. Research findings will help shape design choices and influence product direction. What You Will Do Conduct qualitative and quantitative research to understand user needs and behaviors Share insights that guide design and product decisions Work closely with product and design teams to enhance user satisfaction Support product innovation by providing actionable research findings Location This role is based in San Francisco, CA.

About EliseAIEliseAI is at the forefront of revolutionizing critical sectors like housing and healthcare. Everyone deserves a secure place to live and access to high-quality medical care, yet these essentials can often be difficult to obtain. By seamlessly integrating AI agents into existing workflows, we enhance efficiency, lower costs, and elevate the overall user experience.Housing: We simplify the rental process, enabling users to tour apartments, sign leases, submit maintenance requests, and maintain communication with property management—all within one convenient platform.Healthcare: Our solutions streamline appointment scheduling, intake form completion, and patient-provider communications, allowing individuals to prioritize their health over administrative tasks.At EliseAI, we empower organizations to minimize manual labor, enhance accessibility, and provide a cohesive experience in vital services. We recently secured a $250 million Series E funding round led by Andreessen Horowitz to further accelerate our mission.About The RoleWe are looking for exceptional Machine Learning experts to join our expansive research team. Ideal candidates will possess remarkable mathematical and quantitative abilities, strong programming skills, and impressive academic backgrounds—such as mathematicians, theoretical physicists, or computer scientists—who are eager to apply their knowledge to tackle real-world problems.In this role, you will engage with advanced topics in machine learning and large language models, develop predictive algorithms to enhance our AI functionalities, and conduct systematic analyses on substantial datasets. As a Senior Research Scientist, you will lead comprehensive research projects that drive the evolution of EliseAI’s core models, and we expect you to influence the company's research direction. If you are passionate about utilizing your academic expertise in a vibrant startup culture, we would love to hear from you.Key ResponsibilitiesIdentify critical questions in tenant engagement, conversational AI, and LLM safety, transforming them into structured projects.Design and execute experiments, develop prototypes, and implement large-scale studies to validate hypotheses.

At Genmo, we are pioneers in developing cutting-edge models for video generation, aiming to unlock the full potential of Artificial General Intelligence (AGI). Join our innovative team and play a vital role in redefining the landscape of AI technology.About the RoleWe are on the lookout for a talented Research Engineer to enhance our research team dedicated to advancing visual generative AI. In this role, you will collaborate with experienced professionals to refine and deploy generative models safely and effectively.What You'll DoDevelop novel machine learning techniques tailored for visual generative modeling.Experiment with diverse generative architectures including Diffusion Models, GANs, and Transformers.Optimize model performance and scalability.Ensure safe and robust deployment of models.Work collaboratively with cross-functional teams to integrate research advancements.Engage in research discussions and contribute to technical documentation.Required QualificationsBachelor's or Master's degree in Computer Science, Machine Learning, or a related field (recent graduates encouraged to apply).A minimum of 2 years’ experience in Machine Learning.Strong understanding of machine learning principles, particularly in generative models.Proficient programming skills in Python, along with frameworks like PyTorch or TensorFlow.Experience with deep learning frameworks and model training techniques.Familiarity with core concepts in computer vision and generative AI.Hands-on project experience (academic or personal) with generative models.Excellent communication skills and a collaborative spirit to thrive in a research team environment.Preferred QualificationsResearch projects or thesis work in the field of generative AI.Experience with various generative models such as:Diffusion ModelsGANsTransformer architecturesLarge Language Models