Research Scientist - Secure Intelligence Institute

Join Fluency in Revolutionizing the Autonomous EnterpriseAt Fluency, we challenge the limits of our models' capabilities. Unlike traditional chatbot prompt engineering, we are developing advanced evaluation frameworks and research systems that gauge, enhance, and validate enterprise intelligence at an unprecedented scale.We are seeking a Research Engineer who will be instrumental in designing experiments, constructing evaluation infrastructure, and enhancing model quality for our process conformance, productivity measurement, and AI impact analysis initiatives across Fortune 500 companies.Understanding the Problem SpaceYou will be at the forefront of developing methodologies and systems that assess the effectiveness of our models. With inputs ranging from screenshots, OCR text, application metadata to behavioral signals, the data can be complex and the truth often ambiguous. Your challenge will be to create robust evaluation frameworks that quantify model performance and pinpoint areas for improvement.Key responsibilities include:Crafting evaluation pipelines to measure accuracy, precision, and recall across various classification tasks.Creating ground truth datasets utilizing ambiguous real-world enterprise data.Conducting systematic prompt engineering experiments to enhance LLM performance.Developing A/B testing frameworks for model comparisons.Investigating innovative approaches to process understanding, activity classification, and intent extraction.Evaluating cost-accuracy trade-offs across diverse model architectures and prompting strategies.Establishing automated world-model training infrastructures based on our ontology.You will be pioneering methodologies that currently do not exist; you will define the playbook.Supported by top-tier VCs like Accel and prestigious research institutions such as Princeton, we are at a pivotal moment in our journey with enterprises worldwide.In this role, you will collaborate closely with founders and our engineering team to tackle technical challenges related to LLM evaluation, experimental design, and applied research.

About UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems often fall short as they lack the ability to adapt based on feedback. Our innovative continual learning layer captures context, memory, and decision-making processes across the enterprise, enabling specialized agents to engage in meaningful work.What Excites Us: We operate at the exciting intersection of product development and cutting-edge research. Our product team designs the platform that empowers a new generation of digital coworkers, while our research team drives advancements in post-training and reinforcement learning to enhance user experiences. As an applied research engineer, you will work directly with clients to implement models in production, combining robust product development with deep research insights to facilitate AI integration in enterprises.Meet Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have previously built reinforcement learning infrastructure at OpenAI, established data foundations at Scale AI, and contributed to significant systems at companies like Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are proud to be backed by reputable investors such as Benchmark, Sequoia, and Lux.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel comfortable navigating new environments rapidly—be it a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment for customer interaction, empathy, and a deep understanding of their operational workflows are essential. Candidates with entrepreneurial backgrounds, extensive side projects, or a proven track record of end-to-end ownership typically excel in our environment.

About Matter IntelligenceMatter Intelligence is pioneering the future of vision AI by integrating a groundbreaking sensor capable of perceiving molecular chemistry, temperature, and 3D shapes with a Large World Model—our sophisticated intelligence engine tailored for the physical realm. This innovative system transcends mere visual perception; it comprehensively understands everything from a single pixel. We term this as Superintelligent Vision.Our distinguished team has contributed technologies to Mars missions for NASA/JPL, co-established and led infrastructure initiatives for OpenAI, developed advanced sensors for U.S. Defense, and created fundamental algorithms for spectral and 3D imaging. Together, we are committed to establishing the next frontier for vision and intelligence in the physical world.About the RoleAt Matter, we are developing technology that sits at the intersection of hardware, AI, and Earth observation. This position is uniquely positioned between Engineering and Operations.As the inaugural hire in this role, you will collaborate closely with various teams across Matter, including sensor engineers, ML researchers, satellite systems designers, sales, and leadership. Your primary responsibility will be to understand their workflows, pinpoint opportunities where intelligent agents can condense hours of work into mere seconds, and design these solutions. One week you might be crafting a multi-agent workflow for automating competitive intelligence tracking, and the next, you could be developing an internal tool that provides the hardware team with instant access to five different documentation systems. You will take ownership of challenges from discovery through deployment and continuous iteration.This position is not suited for individuals who prefer to follow a ticket queue. It is tailored for a developer with robust computer science fundamentals who can work autonomously, build trust within a demanding organization, and deliver production-grade agents that are essential to our operations.Key ResponsibilitiesAgent Development & EngineeringDesign, develop, test, and maintain production-quality AI agents and tools utilizing contemporary frameworks and APIs.Architect robust, secure, observable, and maintainable agentic systems.Create AI-native user experience patterns that facilitate seamless adoption: including human-in-the-loop checkpoints, auditability, graceful failure/rollback, and feedback mechanisms.Choose and integrate suitable tools, memory systems, and retrieval strategies tailored to each agent's specific use case.Produce clean, well-documented, version-controlled code, setting the standard for quality.Product Discovery & RequirementsEngage with stakeholders to gather requirements and translate them into effective AI solutions.

About Plaud Inc.Plaud is revolutionizing the professional landscape with its AI-powered work companion designed to enhance productivity and performance through innovative note-taking solutions. Since its inception in 2023, Plaud has garnered a loyal user base of over 1.5 million worldwide. Our mission is to elevate human intelligence by developing state-of-the-art infrastructure and interfaces that intelligently capture, extract, and leverage insights from what you say, hear, see, and think.Based in San Francisco and incorporated in Delaware, Plaud is at the forefront of merging human and AI intelligence through a seamless hardware-software synergy. We uphold the highest standards of data security and privacy, with compliance certifications including SOC 2, HIPAA, GDPR, ISO27001, ISO27701, and EN18031.Why You Should Join UsAs a rapidly growing, profitable company with a remarkable $250 million revenue run rate achieved within just three years, Plaud offers you the chance to:Help define the future of human-AI interaction.Work with advanced AI tools for professional applications and contribute directly to our global expansion.Collaborate with enthusiastic teammates who prioritize innovation, teamwork, and customer success.Advance your career in an environment that promotes continuous learning and rapid career growth.

Join Our Vision at WRITERAt WRITER, we empower the world’s foremost enterprises to harness AI-driven workflows. Our mission is to amplify human potential through groundbreaking superintelligence. We are demonstrating this vision by creating robust, reliable AI solutions that bridge the gap between IT and business, enabling transformative change across entire organizations. With our comprehensive platform, industry giants like Mars, Marriott, Uber, and Vanguard are developing and deploying AI agents that leverage their data and are powered by WRITER’s enterprise-grade LLMs. With a valuation of $1.9B and support from top-tier investors like Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is establishing itself as a frontrunner in the realm of enterprise generative AI.Founded in 2020, with office locations in San Francisco, New York City, Austin, Chicago, and London, our team is committed to innovation and agility. We are on the lookout for intelligent, diligent individuals to join us as we pave the way towards a brighter future of work through AI. Role OverviewWe are seeking an innovative and results-driven AI Transformation Leader to become a key partner for our most influential Fortune 100 clients. In this pivotal role, you will act as the change architect, guiding major organizations to fundamentally reevaluate their operational methodologies. You will bridge business strategy with cutting-edge technology, translating the capabilities of the WRITER platform into tangible financial outcomes while assisting executives in transitioning to an AI-first operational framework.This is a unique chance to craft the blueprint for enterprise AI transformation. Rather than merely overseeing accounts, you will spearhead the next industrial evolution by enabling C-suite executives to shift from AI experimentation to comprehensive value realization. Your contributions will directly influence WRITER’s product development and shape how the world’s largest brands leverage superintelligence to enhance human capabilities.This position offers a hybrid work model based out of our San Francisco office, reporting to the Director of AI Transformation and Success.‍ Key ResponsibilitiesOversee a portfolio of clients while driving ROI and value initiatives in collaboration with a Customer Success Manager focused on adoption strategies.Serve as a strategic transformation advisor for Fortune 50-100 clients by defining vision and establishing the Jobs To Be Done (JTBD) framework with leadership teams to foster AI adoption.Develop and manage executive-level relationships to ensure the effective implementation of AI initiatives that align with business objectives.

About World Labs: At World Labs, we are pioneers in developing foundational world models capable of perceiving, generating, reasoning, and interacting with the 3D world. Our mission is to unlock the full potential of AI through spatial intelligence, transforming vision into action, perception into reasoning, and imagination into innovation. We envision a future where spatial intelligence opens new avenues for storytelling, creativity, design, simulation, and immersive experiences across virtual and physical realms. Our team comprises top experts united by a shared curiosity and passion for technology, ranging from AI research to systems engineering and product design. This synergy creates a dynamic feedback loop between our state-of-the-art research and the products that empower our users. Role Overview We are seeking a SLAM Specialist to conceptualize, develop, and enhance cutting-edge simultaneous localization and mapping systems, ensuring accurate and resilient spatial understanding derived from real-world sensor data. Your focus will be on modern SLAM techniques, encompassing both classical and learning-based methodologies, with an emphasis on scalable state estimation, sensor fusion, and long-term mapping within complex, dynamic environments. This role is hands-on and research-oriented, perfect for someone who thrives at the intersection of robotics, computer vision, and probabilistic inference. You will work closely with research scientists, ML engineers, and systems teams to translate advanced SLAM concepts into production-ready capabilities that serve as the backbone of our world modeling stack. What You Will Do: Design and implement advanced SLAM systems for real-world scenarios, including visual, visual-inertial, lidar, or multi-sensor configurations. Develop robust localization and mapping pipelines, focusing on pose estimation, map management, loop closure, and global optimization. Research and prototype innovative learning-based or hybrid SLAM approaches that synergize classical geometry with contemporary machine learning techniques. Construct and maintain scalable state estimation frameworks, including factor graph optimization, filtering, and smoothing methodologies. Devise sensor fusion strategies that incorporate cameras, IMUs, depth sensors, lidar, or various modalities to enhance robustness and precision. Examine failure modes in real-world SLAM applications (e.g., perceptual aliasing, dynamic scenes, drift) and develop principled solutions. Create evaluation frameworks, benchmarks, and metrics to assess SLAM accuracy, robustness, and performance across extensive datasets. Optimize performance throughout the stack, including adherence to real-time constraints.

Anthropic is looking for a Research Engineer with a focus on Machine Learning, particularly Reinforcement Learning (RL) Velocity. This position involves collaborating with a team to design, build, and refine machine learning systems. Much of the work centers on experimenting with new ideas and advancing AI research. What you will do Work alongside researchers and engineers to develop and optimize machine learning models Explore new methods in reinforcement learning to accelerate progress Contribute to projects that push the boundaries of AI capabilities Location and travel This role offers flexibility to work remotely, with some required travel. Anthropic maintains offices in San Francisco, CA and New York City, NY.

Join Anthropic as a Research Engineer focusing on Economic Research. In this role, you will leverage your analytical skills to conduct in-depth economic analysis and contribute to innovative projects aimed at enhancing our understanding of economic models and their implications.

At World Labs, we are pioneering the development of Large World Models—advanced AI systems designed to comprehend, reason, and engage with the physical environment. Our initiatives are at the cutting-edge of spatial intelligence, robotics, and multimodal AI, with an objective to empower machines to perceive and operate effectively in intricate real-world settings.We are curating a global team of researchers, engineers, and innovators dedicated to transcending the existing boundaries of artificial intelligence. If you are eager to work on transformative technology that will redefine machine perception and enhance human-AI interaction, this role is tailored for you.About World Labs:World Labs is an AI research and development company committed to creating spatially intelligent systems capable of modeling, reasoning, and acting in the real world. We envision a future where AI transcends text or pixels to thrive in three-dimensional, dynamic environments, and we are constructing the foundational models that will make this a reality.Our team unites expertise in machine learning, robotics, computer vision, simulation, and systems engineering. We operate with the agility of a startup combined with the vision of a research lab, tackling long-term challenges that require creativity, rigor, and resilience.Our mission is to develop the most advanced world models and leverage them to empower individuals, industries, and society.Role Overview:We are seeking a Tech Lead for 3D Modeling & Reconstruction to establish technical direction and drive execution for our essential 3D modeling initiatives. This position is suited for someone with a strong background in research science (RS) or research engineering (RE) who has made significant contributions to the field of 3D reconstruction and/or modeling—evidenced by academic publications, widely adopted open-source projects, or large-scale production systems.This is a hands-on leadership role where you will merge profound technical expertise with the ability to guide a high-impact team, influencing both the research roadmap and the production systems that integrate contemporary 3D modeling techniques into tangible products. You will collaborate closely with research, engineering, and product teams to convert innovative concepts into dependable, scalable solutions.

About Physical Intelligence Physical Intelligence is building general-purpose AI for the physical world. The team brings together engineers, scientists, roboticists, and entrepreneurs focused on foundational models and learning algorithms for robots and interactive devices. Role Overview The Robotics Research Engineer works at the intersection of hardware, software, and large-scale model training. The goal: develop efficient autonomous robot policies that move the field forward. What You Will Do Design robotic systems and data collection pipelines to generate high-quality training data Develop learning algorithms that turn collected data into reliable, effective robot policies Contribute to vision-language-action models, from concept through implementation Help shape datasets, research infrastructure, and the direction of robotics research at Physical Intelligence Location San Francisco

About the TeamJoin the innovative Post-Training team at OpenAI, where we focus on refining and elevating pre-trained models for deployment in ChatGPT, our API, and future products. Collaborating closely with various research and product teams, we conduct crucial research that prepares our models for real-world deployment to millions of users, ensuring they are safe, efficient, and reliable.About the RoleAs a Research Engineer / Scientist, you will spearhead the research and development of enhancements to our models. Our work intersects reinforcement learning and product development, aiming to create cutting-edge solutions.We seek passionate individuals with robust machine learning engineering skills and research experience, particularly with innovative and powerful models. The ideal candidate will be driven by a commitment to product-oriented research.This position is located in San Francisco, CA, and follows a hybrid work model requiring three days in the office each week. Relocation assistance is available for new employees.In this role, you will:Lead and execute a research agenda aimed at enhancing model capabilities and performance.Work collaboratively with research and product teams to empower customers to optimize their models.Develop robust evaluation frameworks to monitor and assess modeling advancements.Design, implement, test, and debug code across our research stack.You may excel in this role if you:Possess a deep understanding of machine learning and its applications.Have experience with relevant models and methodologies for evaluating model improvements.Are adept at navigating large ML codebases for debugging purposes.Thrive in a fast-paced and technically intricate environment.About OpenAIOpenAI is a pioneering AI research and deployment organization dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We are committed to pushing the boundaries of AI capabilities while prioritizing safety and human-centric values in our products. Our mission is to embrace diverse perspectives, voices, and experiences that represent the full spectrum of humanity, as we strive for a future where AI is a powerful ally for everyone.

About Our TeamJoin the forefront of AI innovation with the RL and Reasoning team at OpenAI. Our team is dedicated to advancing reinforcement learning research and has pioneered transformative projects, including o1 and o3. We are committed to pushing the limits of generative models while ensuring their scalable deployment.About the RoleAs a Research Engineer/Research Scientist at OpenAI, you will play a pivotal role in enhancing AI alignment and capabilities through state-of-the-art reinforcement learning techniques. Your contributions will be essential in training intelligent, aligned, and versatile agents that power various AI models.We seek individuals with a solid foundation in reinforcement learning research, agile coding skills, and a passion for rapid iteration.This position is located in San Francisco, CA, and follows a hybrid work model of three days in the office per week. We also provide relocation assistance for new hires.You may excel in this role if:You are enthusiastic about being at the cutting edge of RL and language model research.You take initiative, owning ideas and driving them to fruition.You value principled methodologies, conducting simple experiments in controlled environments to draw trustworthy conclusions.You thrive in a fast-paced, complex technical environment where rapid iteration is essential.You are adept at navigating extensive ML codebases to troubleshoot and enhance them.You possess a profound understanding of machine learning and its applications.About OpenAIOpenAI is a pioneering AI research and deployment organization committed to ensuring that general-purpose artificial intelligence serves the greater good for humanity. We strive to push the boundaries of AI system capabilities while prioritizing safe deployment through our innovative products. We recognize AI as a powerful tool that must be developed with safety and human-centric principles, embracing diverse perspectives to reflect the full spectrum of humanity.We are proud to be an equal opportunity employer, welcoming applicants from all backgrounds without discrimination based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic.

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.

Join Sierra as a Software Engineer specializing in Intelligence, where you will play a pivotal role in developing innovative software solutions that enhance our intelligence capabilities. Collaborate with a dynamic team of professionals in a stimulating environment that encourages creativity and technical growth.

Join Gridware as a Mechanical Research Engineer, where your innovative spirit and engineering expertise will contribute to groundbreaking projects in the energy sector. You will be responsible for conducting research, developing prototypes, and collaborating with a team of skilled engineers to advance our technology solutions.

At Thinking Machines Lab, our mission is to empower humanity by advancing collaborative general intelligence. We strive to build a future where everyone has access to the knowledge and tools essential for making AI work effectively for their unique objectives.Our team comprises scientists, engineers, and innovators who have contributed to some of the most widely adopted AI products, including ChatGPT and Character.ai, as well as notable open-weight models like Mistral and popular open-source projects such as PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleThe Post-Training Researcher position is pivotal to our roadmap. It serves as a crucial connection between raw model intelligence and a system that is genuinely beneficial, safe, and collaborative for human users.This role uniquely combines fundamental research with practical engineering, as we do not differentiate between these functions internally. Candidates will be expected to produce high-performance code and analyze technical reports. This position is ideal for individuals who relish both deep theoretical inquiry and hands-on experimentation, aiming to influence the foundational aspects of AI learning.Note: This position is classified as an 'evergreen role', meaning we continuously accept applications in this research domain. Given the high volume of applications, an immediate match for your skills and experience may not always be available. However, we encourage you to apply; we regularly review submissions and reach out as new opportunities arise. You are welcome to apply again after gaining more experience, but we ask that you refrain from applying more than once every six months. Additionally, specific postings for singular roles may be available for distinct projects or team needs, in which case you are welcome to apply directly in conjunction with this evergreen role.What You’ll DoDevelop and Optimize Recipes: Refine post-training recipes, encompassing various datasets, training stages, and hyperparameters, while assessing their impact on multiple performance metrics.Iterate on Evaluations: Engage in a continuous process of defining evaluation metrics, optimizing them, and recognizing their limitations. You will be accountable for enhancing performance metrics and ensuring they are meaningful.Debug and Analyze: During the fine-tuning of training configurations, you may encounter results that appear inconsistent. You will be responsible for troubleshooting and cultivating a deeper understanding to apply to subsequent challenges.Scale and Investigate: Assess and expand the capabilities of our models while exploring potential improvements.

Join our innovative team at Gridware as an Electrical Research Engineer, where you will play a crucial role in advancing our cutting-edge technology. In this position, you will be responsible for conducting research, developing new electrical systems, and optimizing current technologies to enhance our product offerings.

OpenAI's research infrastructure group creates and maintains the backbone systems for advanced machine learning model training. This team often goes beyond conventional training methods, developing new infrastructure to support novel research at scale. Their work closely connects systems engineering with research progress, making it possible to run experiments that would otherwise be too slow or complex. Role overview The Research Infrastructure Engineer for Training Systems designs and improves the platforms that power large-scale ML training. This role bridges research concepts and the practical systems that make large model training possible. The work has a direct impact on model release timelines and requires building systems that perform reliably in demanding, real-world scenarios. What you will do Build and maintain infrastructure for large-scale model training and experimentation Design APIs and interfaces to simplify complex training workflows and prevent misuse Enhance reliability, debuggability, and performance across training and data pipelines Troubleshoot issues involving Python, PyTorch, distributed systems, GPUs, networking, and storage Create tests, benchmarks, and diagnostic tools to catch regressions early Requirements Interest in building systems that support new training methods, not just optimizing existing ones Strong instincts in systems engineering, especially regarding performance, reliability, and clean abstractions Experience designing APIs and interfaces for researchers and engineers Ability to work across ML research code and production infrastructure Enjoys evidence-based debugging using profiles, traces, logs, tests, and reproducible cases

Join our dynamic team at Cognition as a Research Engineer specializing in Infrastructure. In this role, you will be at the forefront of cutting-edge research, contributing to innovative solutions that shape the future of our infrastructure projects.Your responsibilities will include conducting thorough research, analyzing data, and collaborating with cross-functional teams to implement effective strategies. We are looking for an individual who is passionate about technology and infrastructure, eager to solve complex problems, and ready to drive impactful results.