Research Scientist - Applied Large Language Models

Isomorphic Labs is at the forefront of artificial intelligence, striving to unveil profound scientific insights, accelerate breakthroughs, and develop transformative medicines with the aim of eradicating all diseases.The future is unfolding—a future enriched by the remarkable capabilities of machine learning, where diseases are managed or cured through enhanced and expedited drug discovery.Join our interdisciplinary team, where your contributions will play a pivotal role in driving innovation and achieving our ambitious objectives, all within a collaborative and inspiring culture.The world we aspire to create begins today, with the culture we foster at Isomorphic Labs, and it starts with you.Research Scientist - Applied Large Language ModelsYour ImpactAs a Research Scientist specializing in Large Language Models (LLMs), you will be instrumental in leveraging cutting-edge technology across our research domains to revolutionize the drug discovery landscape.Working in a dynamic and creative environment, you will collaborate with leading researchers and engineers to envision, design, and develop state-of-the-art LLM applications that unlock new modeling capabilities and enhance predictive power—critical elements for the organization’s success.

Become a Catalyst for Change at Axon.At Axon, we are committed to safeguarding lives and enhancing public safety through innovative technology. As pioneers in the field, we tackle critical issues surrounding safety and justice with our comprehensive ecosystem of devices and cloud-based software solutions. Our collaborative culture thrives on open communication and diverse perspectives, both from our customers and within our teams.Working at Axon is not just a job; it's a chance to make a tangible difference. Here, you will take initiative and make a real impact while growing personally and professionally in a fast-paced, meaningful environment.Your RoleWe are looking for adept and forward-thinking Machine Learning Scientists to enhance our AI team, focusing on applications of AI, particularly in Large Language Models (LLM) and Computer Vision across Cloud, Devices, and Robotics. As an integral part of our research and development initiatives, you will significantly contribute to advancing cutting-edge technologies in LLMs, Multimodal Large Language Models (MLLMs), Computer Vision, and Generative AI for law enforcement applications and more. You will work collaboratively with multidisciplinary teams to innovate, develop, and implement advanced LLM, MLLM, and CV models, enabling intelligent reasoning and perception of multimodal data.

aisi seeks a Research Engineer or Research Scientist to focus on Model Transparency in London, UK. The position involves research aimed at making AI models more understandable and accountable. The goal is to clarify complex behaviors within these systems and help build trust in their outcomes. Key responsibilities Research new ways to improve the interpretability of AI models Create methods and tools that help explain how models make decisions Tackle challenges in understanding and communicating model behavior Contribute to initiatives that support greater accountability in AI Location This role is based in London, UK.

Role overview ASOS Ltd. seeks an Applied Scientist for its Technology department in London. The focus is on applying advanced data analytics and machine learning to enhance customer experience and streamline internal operations. Key responsibilities Design and build algorithms, predictive models, and analytical tools in partnership with teams across the business. Use data-driven methods to support technology initiatives and advance strategic objectives at ASOS. Contribute to new solutions that have a measurable effect on customer service and operational efficiency. Collaboration This position works closely with colleagues from different disciplines to ensure technical solutions support the company's wider goals.

About AnthropicAt Anthropic, we are dedicated to developing reliable, interpretable, and steerable AI systems that prioritize safety and benefit users and society at large. Our rapidly expanding team encompasses passionate researchers, engineers, policy experts, and business leaders, all united in our mission to create beneficial AI solutions.About the RoleJoin our Applied AI team as a Pre-Sales Architect, where you will serve as a trusted technical advisor for large enterprises, guiding them in understanding the transformative potential of Claude. Your role will involve crafting a compelling vision for how organizations can seamlessly integrate and deploy Claude into their technology frameworks. By blending your profound technical knowledge with exceptional customer engagement skills, you will architect innovative LLM solutions that tackle complex business challenges while adhering to our high standards of safety and reliability.Collaborating closely with Sales, Product, and Engineering teams, you will lead customers from the initial technical discovery phase through to successful deployment. Your expertise will empower clients to grasp Claude's capabilities, create evaluations, and design scalable architectures that maximize the value derived from our AI systems.

Who are we?At Cohere, we are driven by a powerful mission: to scale intelligence for the betterment of humanity. Our focus is on training and implementing state-of-the-art models that empower developers and enterprises in creating AI systems that foster innovative experiences, including content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. We believe our contributions are pivotal in accelerating the global adoption of AI technologies.Our passion is reflected in the meticulous work we do. Each team member plays a crucial role in enhancing our models' capabilities and the value they provide to our clients. We embrace a culture of hard work and agility, always prioritizing the needs of our customers.Cohere comprises a diverse group of researchers, engineers, designers, and professionals who are all experts in their respective fields. We understand that a variety of perspectives is essential for creating exceptional products.Join us in our quest to shape the future of AI!Why join Cohere Labs?Cohere Labs functions as the dedicated research division of Cohere. Our goal is to push the frontiers of machine learning by addressing complex challenges and unlocking new avenues for exploration. We believe that the future of AI will be determined not only by technical innovations but also by fostering environments where diverse communities of researchers, engineers, and interdisciplinary experts can collaborate on bold ideas.We pursue our mission through two main strategies:Establishing open research environments that facilitate collaboration across various backgrounds in cutting-edge ML and NLP research.Enhancing access to research training, welcoming new voices and perspectives from around the globe.About the roleAs a Senior Research Scientist at Cohere Labs, you will spearhead an independent and impactful research agenda focused on advanced topics in AI. You will have the autonomy to pose ambitious questions, delve into unexplored areas, and share your findings with the broader community. We are particularly interested in research that not only advances scientific knowledge but also addresses the societal implications of machine learning.This position is ideal for someone who excels at both leading initiatives and fostering learning: driving cutting-edge research through global collaborations, mentoring emerging researchers, and broadening participation in ML research.You may be a fit if you:Hold a PhD or possess equivalent research experience...

Application Deadline: We are actively interviewing candidates and seek to fill this position promptly with a suitable applicant. THE OPPORTUNITYBecome a vital member of our groundbreaking AGI safety product team and play a key role in transforming intricate AI research into actionable tools aimed at minimizing AI-related risks. In your role as an applied researcher, you will collaborate closely with our CEO (who also acts as Head of Product), product engineers, and the Evals team’s software engineers to develop solutions that enhance AI agent safety for our clients. Currently, we are concentrating on the oversight of AI coding agents to identify failures in safety and security. You will be part of a compact team, which allows you to significantly influence both team dynamics and technological approaches while quickly assuming greater responsibilities. This position is perfect for you if you have a fervent desire to employ empirical research methodologies to enhance the safety of AI systems in practical applications. If you relish the challenge of converting theoretical AI risks into tangible detection mechanisms, thrive in fast-paced environments, and are eager to see your research make a meaningful impact on real-world AI safety, then we would love to hear from you.KEY RESPONSIBILITIESResearch & Development- Collect and catalog coding agent failure modes systematically from real-world instances, public examples, research literature, and theoretical predictions.- Design and execute experiments to evaluate monitor effectiveness across various failure modes and agent behaviors.- Develop and maintain evaluation frameworks to track advancements in monitoring capabilities.- Refine monitoring strategies based on empirical findings, optimizing detection accuracy alongside computational efficiency.- Stay updated with the latest research in AI safety, agent failures, and detection methodologies.- Keep abreast of advancements in coding security and safety vulnerabilities.Monitor Design & Optimization- Create a comprehensive library of monitoring prompts tailored to specific failure modes (e.g., security vulnerabilities, goal misalignment, deceptive behaviors).- Experiment with various reasoning strategies and output formats to enhance monitor reliability.- Design and evaluate hierarchical monitoring architectures and ensemble approaches.

Join InstaDeep as a Research Scientist where you will drive innovation in decision-making AI. Collaborate with leading experts to develop cutting-edge machine-learning models, conduct impactful experiments, and contribute to groundbreaking research in computational biology. Your insights will help expand our scientific knowledge and support our partnerships with global leaders like BioNTech SE and Google DeepMind.

physicsx seeks a Principal Research Scientist based in London, United Kingdom. This position centers on guiding research projects that introduce new concepts and methods in physics. The work plays a key part in supporting the company’s mission to drive technological advancement through scientific discovery. Role overview As Principal Research Scientist, the main responsibility is to lead innovative research efforts. Projects will focus on developing and testing original approaches within the field of physics. The results of this research are intended to contribute directly to the company’s ongoing progress in technology. What you will do Lead and manage research projects from concept to completion Develop new ideas and experimental approaches in physics Ensure research aligns with the company’s goals for scientific and technological progress Location This role is based in London, United Kingdom.

About UsXapien is revolutionizing the way businesses understand their connections, whether it’s with suppliers, investors, partners, or third parties. We harness the power of advanced AI to provide organizations with unmatched speed, scale, and accuracy in their due diligence processes.Since our inception in 2018, we've transformed from a deep-tech startup into a global leader in AI-driven risk intelligence and due diligence solutions. In 2024, we celebrated a milestone achievement by securing $10M in Series A funding, receiving accolades in the Chartis RiskTech100® and Everest Group’s Leading 50™, and broadening our product offerings, markets, and customer base.2025 has brought even greater opportunities: With increasing compliance demands, emerging regulations, and heightened reputation risks, organizations worldwide are seeking innovative and efficient solutions, placing their trust in Xapien. From renowned law firms and financial institutions to educational and non-profit organizations, our clients rely on us to transform cumbersome manual research into actionable insights delivered within moments.Our growth trajectory:As we expand our reach beyond the UK, we are witnessing a surge in demand across continents, particularly in the Middle East, Asia, and Oceania, with significant growth in sectors such as wealth management, financial services, and supply chain onboarding.Why Join Us Now?This role presents a unique chance to influence the future of the due diligence industry with our leading-edge product, trusted by organizations globally. Regardless of your background—whether in marketing, sales, finance, or communications—you’ll be pivotal in driving growth, establishing credibility, and connecting our product to a dynamic market landscape.We are rapidly scaling, facing new regulatory challenges, and responding to heightened customer expectations. At Xapien, due diligence now embodies real-time insights delivered efficiently and effectively. You will not just execute tasks; you will influence strategies, optimize procedures, and contribute to a brand that is redefining standards for trust and transparency.If you are passionate about learning, innovating, and making a meaningful impact, now is the perfect time to join Xapien.The RoleWe are on the lookout for a detail-oriented Applied Research Engineer to assist in the development of the next generation of algorithms at the core of our systems. With our product experiencing rapid growth, your contributions will be crucial in shaping our solutions.

Role overview physicsx is seeking a Research Scientist based in London, United Kingdom. The position centers on advancing scientific research and contributing to projects that push the boundaries of physics and technology. The team brings together scientists and engineers who collaborate to tackle challenging technical problems. What you will do Use scientific research methods to develop new concepts and solutions Collaborate with colleagues from a range of technical backgrounds Support projects that investigate emerging areas in physics and technology

Role overview Trustpilot is hiring a Data Scientist for the Applied AI team in London. This position centers on Go-To-Market strategies, using data analytics and machine learning to support business growth. What you will do Apply advanced analytics and machine learning to guide business decisions Work with teams across the company to bring AI solutions into marketing efforts Help improve customer engagement and optimize marketing performance Location Based in London.

At Google DeepMind, we celebrate the rich diversity of experiences, knowledge, backgrounds, and perspectives that contribute to our mission of creating extraordinary impact. We are dedicated to providing equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital status, sexual orientation, gender identity, pregnancy, or any other legally protected status. If you require accommodation due to a disability or additional need, please let us know.About UsArtificial Intelligence stands as one of humanity’s most transformative inventions. At Google DeepMind, our team of scientists, engineers, and machine learning experts work collaboratively to push the boundaries of AI technology. We harness our innovations for the greater good and scientific progress, prioritizing safety and ethics in every endeavor.SnapshotWe are in search of talented engineers and scientists to help propel our research in Artificial Intelligence as part of our mission to develop the next generation of Generative AI technologies. Our team is uniquely positioned to work on speculative, long-term projects that, when successful, yield significant advancements in the capabilities of our frontier models. We are committed to exploring paradigm-shifting concepts and investing the necessary time and resources to realize them. Our aim is to ideate, research, develop, validate, and incorporate these advancements into major Google technologies.Our primary research focus is on Gemini Diffusion, our cutting-edge text diffusion model, which we believe has the potential to unlock a new era in generative AI, delivering unmatched capabilities with rapid latency. Backed by GDM leadership, our team is devoted to thoroughly investigating and advancing this groundbreaking technology.We are a multi-disciplinary group of engineers and scientists who collaborate closely, leveraging our diverse skills with a strong emphasis on developing and deploying innovative AI solutions. Our problem-focused ethos drives our interest in any tool or idea that can effectively address real-world challenges.

At Google DeepMind, we prioritize diversity in experience, knowledge, backgrounds, and perspectives, leveraging these attributes to create remarkable impact. We are dedicated to providing equal employment opportunities regardless of sex, race, religion, belief, ethnic or national origin, disability, age, citizenship, marital status, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or any other condition protected by applicable law. If you have a disability or additional needs that require accommodation, please feel free to reach out to us.SnapshotWe seek talented Research Scientists to advance fundamental research and technology in Artificial Intelligence, as part of our interdisciplinary and collaborative Reinforcement Learning team.About UsDeepMind’s RL team is a cohesive and collaborative group of scientists and engineers, led by Tom Schaul. We address large-scale research challenges in reinforcement learning, designing, refining, and scaling RL algorithms to yield significant scientific and product impact. Over the past decade, our RL team has been pivotal in developing innovations such as DQN, AlphaGo, Rainbow, AlphaZero, MuZero, AlphaStar, AlphaProof, and Gemini. Join us in creating the next groundbreaking advancement!The RoleAs a Research Scientist, you will leverage your machine learning expertise and technical skills to innovate, spearhead research projects, and apply findings to impactful challenges. You will be responsible for implementing code, conducting experiments, owning results from start to finish, communicating findings effectively, and collaborating with fellow team members to empower others.Your work may involve:Initiating and pursuing novel research directions by proposing and testing hypotheses.Implementing algorithmic ideas and executing comprehensive experiments, including setup, execution, analysis, and iteration.Sharing your expertise and insights with other researchers.Building or enhancing infrastructure to support scalable research.Designing evaluations and ablations that address real questions and influence perspectives.Meticulously analyzing results, including debugging and failure analysis.Effectively communicating through visualizations, write-ups, and publication-ready narratives and figures.Contributing to a culture of first-principles thinking, high standards, and constructive feedback.Our projects encompass a broad spectrum of state-of-the-art machine learning and AI domains, including large language models, distributed machine learning, and more.

Role overview The Trade Desk seeks a Staff Applied Scientist for its London office. The position centers on building advanced algorithms and machine learning models that enhance the digital advertising platform. Collaboration with both scientists and engineers is a key part of the role, all with the aim of improving how brands connect with their audiences. What you will do Develop and improve algorithms that support programmatic advertising solutions Apply machine learning methods to analyze and interpret large-scale data sets Work alongside a multidisciplinary team to advance the platform Offer scientific insight to projects that influence the direction of digital advertising Requirements Background in data science, applied science, or machine learning Strong skills in algorithm development Interest in the technical aspects of digital advertising Comfort working with diverse technical teams Location This role is based in London.

About CartesiaAt Cartesia, we are on a mission to revolutionize artificial intelligence by creating interactive, ubiquitous intelligence that can operate seamlessly in any environment. Despite advances, current AI models struggle to process extensive streams of audio, video, and text simultaneously—an area we aim to transform.Our innovative team, which originated from the Stanford AI Lab, has developed State Space Models (SSMs)—a breakthrough in training efficient, large-scale foundation models. Merging deep knowledge of model engineering with a design-centric approach, we are dedicated to delivering cutting-edge AI models and applications.Supported by esteemed investors including Index Ventures and Lightspeed Venture Partners, alongside an array of industry experts and advisors, we are well-positioned to lead the future of AI.About the RoleAs we open our inaugural European office in London, we are eager to welcome talented individuals who share our vision for advancing real-time multimodal intelligence.Your ImpactEngage in pioneering research focused on neural network architecture design to elevate the state-of-the-art (SOTA) in alternative architectures such as state space models, efficient Transformers, and hybrid architectures.Create innovative architectures that enhance model quality, inference efficiency, and adaptability across various environments, from cloud infrastructures to on-device implementations.Investigate capabilities like statefulness, long-range memory, and advanced conditioning mechanisms to boost model expressiveness and generalization.Analyze how architectural choices affect model trade-offs, including scalability, robustness, latency, and energy consumption.Formulate new frameworks and tools to assess architectural innovations, benchmarking performance in both research and production contexts.Collaborate with multidisciplinary teams to translate architectural research into scalable, impactful systems for real-world applications.

Application Deadline: We are actively conducting interviews and aim to onboard the right candidate promptly.ABOUT THE ROLEAt Apollo Research, we are embarking on an ambitious journey to establish a groundbreaking field known as the “Science of Scheming.” We are seeking passionate Research Scientists and Engineers eager to contribute to the creation of a new hard science from the ground up.YOUR RESPONSIBILITIES- Collaborate with leading AI innovators. Our partnerships with various labs provide access to an extensive range of models that no single AI lab can offer. Your contributions will significantly influence the development and deployment of advanced AI systems.- Conduct in-depth studies of reinforcement learning dynamics that drive the emergence of reward-seeking behaviors, evaluation awareness, and misaligned preferences. Design and train model organisms, scaling insights to cutting-edge systems.- Explore the “Scaling Laws of Scheming.” Establish empirical foundations to forecast how scheming risks evolve as models increase in capability.- Innovate evaluation techniques that can potentially scale to highly evaluation-aware models.- Investigate AI cognition. Uncover unique patterns in the reasoning processes of advanced AI systems that have yet to be documented.Note: This position does not focus on interpretability roles.KEY REQUIREMENTSWe seek a diverse set of skills to advance our research agenda. We do not expect any single candidate to meet all the criteria listed below. However, a successful candidate will likely excel in one or several of the following areas:- Fast-paced empirical research: Ability to design and execute experiments with a focus on accelerating iteration cycles.

Spotify is looking for a Senior Applied Research Engineer focused on Media Quality to join the team in London. This position centers on improving the quality of Spotify's media delivery systems, supporting a seamless listening experience for millions of users. Role overview This role involves working closely with cross-functional teams to identify and solve challenges related to media quality assurance. The work supports Spotify’s goal of delivering reliable and high-quality audio to its global audience. What you will do Apply research and engineering skills to enhance media delivery systems. Collaborate with colleagues across different disciplines to develop solutions for media quality issues. Contribute to projects that directly impact the user experience for Spotify listeners worldwide. Location This position is based in London.

HeartFlow Inc. is at the forefront of medical technology, revolutionizing the diagnosis and management of coronary artery disease—the leading cause of death globally. Utilizing advanced technology, our flagship product, the HeartFlow FFRCT Analysis, is an AI-driven, non-invasive cardiac test endorsed by the ACC/AHA Chest Pain Guidelines. This innovative solution generates a color-coded, 3D model of a patient's coronary arteries, highlighting the impact of blockages on blood flow to the heart. HeartFlow stands out as the first AI-driven non-invasive integrated heart care solution throughout the CCTA pathway, enabling clinicians to identify stenoses (RoadMap™ Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our expanding pipeline of products and team are dedicated to transforming the landscape of precision heart care.As a publicly traded company (HTFL), HeartFlow has garnered international acclaim for its groundbreaking contributions to healthcare innovation. We are supported by medical societies worldwide and have received clearances for use in the US, UK, Europe, Japan, and Canada, serving over 500,000 patients globally.We invite you to join HeartFlow's distinguished Research team as a Collaborating Research Scientist, with a joint visiting researcher appointment in Professor Ben Glocker’s lab at Imperial College London. This role centers on the advancement of state-of-the-art Generative AI technologies for Coronary Computed Tomography Angiography (CCTA). You will engage in pioneering academic research, produce intellectual property, and contribute to high-impact publications, ensuring that technical innovations are effectively translated into product-grade models at HeartFlow.At Imperial College, you will become an integral member of one of the world’s premier medical imaging laboratories, participating in seminars, collaborating with leading academics, and immersing yourself in the dynamic ecosystem of South Kensington.At HeartFlow, you will play a crucial role in shaping our research roadmap, gaining access to extensive proprietary datasets not available in purely academic settings, and translating your findings into medical devices with a global impact.Key Responsibilities:Design and implement cutting-edge generative architectures to synthesize high-fidelity, anatomically accurate CCTA image data.Publish and present findings at prestigious conferences (e.g., MICCAI, ICCV, CVPR, NeurIPS).Provide technical reports and reproducible code to facilitate the transition of research into products by Research team members and development teams.Identify and protect new intellectual property for HeartFlow in emerging AI domains.

About Sylvera Sylvera empowers organizations to make informed investments in carbon and commodity markets. Our independent assessments of carbon project quality, market pricing, and supply signals, alongside our geospatial and carbon intensity data, provide clients with the vital insights needed for impactful climate action.Our diverse team of over 130 scientists, engineers, and market analysts operates across major cities including London, New York, São Paulo, Singapore, and Tokyo. We specialize in market intelligence, geospatial analytics, multi-scale lidar research, and policy analysis, partnering with governments to enhance transparency and rigor in carbon markets.With backing from over $96 million in investment from prominent firms like Fidelity, Balderton Capital, Index Ventures, and Insight Partners, we are trusted by Fortune 500 companies and major financial institutions globally.If you are passionate about climate science, enjoy tackling complex challenges, and wish to work with a dedicated team committed to our mission, we invite you to explore this opportunity.Role Overview ‍‍We are seeking a dedicated Applied Scientist – Forest Lidar & 3D ML to join our Earth Analytics (EA) team.Your primary focus will be to address a significant research challenge in a high-impact commercial context: the automation of tree segmentation from intricate terrestrial laser scanning (TLS) point clouds. Your work will be pivotal in enhancing Sylvera’s innovative Biomass Atlas product, which is increasingly utilized for carbon accounting within carbon markets. You will gain exclusive access to a premier ground-truth, labeled dataset of 3D forest point clouds sourced from global forests.Key Responsibilities:Designing, training, and implementing advanced 3D deep learning models (e.g., sparse convolutions, PointNet, TreeLearn, or similar architectures) for automating tree instance segmentation and Quantitative Structure Model (QSM) generation.Converting experimental machine learning research into reliable, reproducible code, collaborating closely with our production engineering team to deploy models at scale.