Collaborating Research Scientist

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.

At Canva, our mission is to empower individuals to unleash their creativity through design. We are innovating AI technology that not only feels intuitive but also creates meaningful impacts for millions, enabling everyone to design with confidence. We are seeking a Senior Research Scientist passionate about reinforcement learning, agentic systems, and mixture of experts (MoE) models to advance our capabilities in reasoning, tool utilization, latency, and reliability.About the TeamOur team delves into multimodal agentic architectures, establishing robust training and evaluation frameworks. We collaborate closely with product and platform teams to transform groundbreaking research into engaging product features. As a pioneering post-training team, we are dedicated to developing advanced multimodal agentic systems. We cover a wide array of topics, including multimodal modeling, post-training strategies, and agent design.About the RoleIn this role, you will influence research directions and engage in hands-on initiatives across the agent stack—from reward design and policy optimization to planning, memory management, tool orchestration, dataset construction, and the innovation of post-training methodologies. You will create meticulously designed experiments, iterate rapidly, and derive reliable conclusions, all while ensuring that research translates into safe, high-quality product experiences.Key ResponsibilitiesDesign and develop agent systems focused on planning, multimodal tool usage, retrieval, innovative training methods, and modeling experiments for real-world applications in design, vision, and language.Implement scalable post-training and reinforcement learning solutions across distributed systems (using PyTorch), optimizing data loaders, telemetry, and stable training of MoE architectures while ensuring reproducibility.Contribute to the reinforcement learning and agentic systems research agenda that aligns with Canva’s product vision; quickly identify and prioritize high-impact projects.Create reward models and learning loops, including RLHF/RLAIF, preference modeling, DPO/IPO-style objectives, offline/online RL, and curriculum learning.Develop simulation tasks that expose failure modes (planning errors, tool-use weaknesses, hallucinations, unsafe actions) and establish measurable targets for improvement.Lead rigorous evaluations for agents, focusing on task success, reliability, latency, safety, and regression testing. Set up offline suites and conduct online A/B testing; favor straightforward experiments that yield generalizable results.Collaborate closely with product, design, safety, and platform teams to successfully integrate research findings into reliable product features.

About AnthropicAt Anthropic, we are dedicated to developing reliable, interpretable, and controllable AI systems. Our goal is to ensure that AI technology is safe and beneficial for both users and society. Our rapidly expanding team consists of passionate researchers, engineers, policy experts, and business leaders collaborating to create advantageous AI systems.About the TeamsThe Reinforcement Learning teams at Anthropic spearhead our research and development in reinforcement learning, playing an essential role in enhancing our AI systems. We have made significant contributions to all Claude models, particularly impacting the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work encompasses several critical areas:Creating systems that empower models to utilize computers effectively.Enhancing code generation through reinforcement learning techniques.Conducting pioneering RL research for large language models.Establishing scalable RL infrastructure and training methodologies.Improving model reasoning capabilities.We work closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and secure. Additionally, we collaborate with the applied production training team to seamlessly integrate research advancements into deployed models, demonstrating our commitment to implementing research at scale. Our Reinforcement Learning teams operate at the intersection of cutting-edge research and engineering excellence, dedicated to building high-quality, scalable systems that expand the possibilities of AI.About the RoleAs a Research Engineer in the Reinforcement Learning domain, you will partner with a diverse group of researchers and engineers to enhance the capabilities and safety of large language models. This position merges research and engineering responsibilities, requiring you to implement innovative approaches while contributing to the research strategy. You will engage in fundamental research in reinforcement learning, developing 'agentic' models capable of tool use for open-ended tasks such as computer usage and autonomous software generation, improving reasoning skills in disciplines like mathematics, and creating prototypes for internal applications, productivity, and evaluation.Representative Projects:Design and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters, scaling our systems to manage increasingly complex research workflows.Invent, implement, and evaluate novel training environments, evaluations, and methodologies for reinforcement learning.

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.

Join the prestigious Anthropic Fellows Program, where you'll have the opportunity to delve into cutting-edge research in Reinforcement Learning. This program is designed for individuals passionate about advancing AI safety and developing innovative solutions. As a fellow, you will collaborate with a team of experts, engage in impactful projects, and contribute to a progressive research environment.

Isomorphic Labs is pioneering the application of advanced AI technologies to unlock profound scientific insights, expedite breakthroughs, and develop transformative medicines with a vision to eradicate all diseases.The future is on the horizon, made possible by the remarkable capabilities of machine learning. We envision a world where diseases are effectively managed or eliminated through accelerated and enhanced drug discovery.Join our interdisciplinary team to spearhead groundbreaking innovations and play a pivotal role in our mission to achieve ambitious health-related goals, all while contributing to a vibrant and collaborative workplace culture.The future we aspire to is being shaped today. It begins with our culture at Isomorphic Labs. It starts with you.About Isomorphic LabsFounded in 2021, Isomorphic Labs (IsoLabs) strives to enhance human health by building upon the Nobel Prize-winning AlphaFold system. Our diverse team of experts in drug discovery and machine learning has developed groundbreaking predictive and generative AI models that accelerate scientific discovery at an unprecedented pace.Our name reflects our belief in the inherent symmetry between biology and information science. By leveraging AI's robust capabilities, we can model complex biological processes to design innovative molecules, predict drug performance, and develop novel treatments for some of the world's most challenging diseases.Our state-of-the-art drug design engine integrates AI models capable of addressing various therapeutic areas and drug modalities. We are dedicated to continuously innovating model architectures and creating cutting-edge solutions to advance rational drug design.With each significant advancement, we are progressing towards the promise of digital biology, moving closer to our ambitious mission of ultimately solving all diseases through the power of AI.

About WheelyWheely is revolutionizing premium transportation across major cities in Europe, the US, and the Middle East. We integrate state-of-the-art technology with the art of five-star chauffeuring to provide an experience trusted by over 100,000 active riders and 1,200 corporate accounts.As a profitable and rapidly growing scale-up with $43 million raised and over $100 million in annual revenue, we have recently launched in New York City and are swiftly expanding throughout the US and EMEA. If you take pride in your expertise and wish to help shape the next phase of our growth, we invite you to connect with us.We are seeking Associate Data Scientists with a foundation in Operations Research. You will oversee the entire process—from ideation and research to production deployment.You will be part of either our Pricing or Matching team, collaborating with fellow Data Scientists and engineers to tackle challenging, high-stakes problems such as dynamic pricing and bipartite matching.

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.

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...

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.

About H H is focused on advancing superintelligence by developing agentic AI. The team’s mission is to automate complex, multi-step tasks that typically require human effort, enabling AI agents to extend what people can achieve. H values open collaboration, continuous learning, and responsible progress. The company seeks people who care deeply about building agentic technologies safely and who want to contribute to a culture where every voice matters. About the Agent Team The Agent team shapes new learning algorithms and agent paradigms that move agentic systems forward. Work centers on foundational models and reinforcement learning, with a focus on training artificial general agents. Collaboration with the LLM/VLM and Safety teams is central, as the group explores new research directions together. Role Overview: Technical Staff Member - Research - Agent This position is part of the research team and centers on engineering. The main responsibility: define system architectures and build scalable platforms that underpin research efforts. The work involves turning research ideas into reliable, high-performance systems ready for production, supporting the next wave of agentic AI. Location London

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.

At Spotify, we're revolutionizing the way our 600 million listeners across 180 global markets engage with music, podcasts, and audiobooks. Our Personalization team plays a pivotal role in delivering tailored experiences that not only meet user expectations but also encourage exploration of new content. We are on the lookout for a talented Research Scientist specializing in machine learning to help us elevate our personalization strategies to new heights.As a key member of our dynamic research team, you will engage in groundbreaking research, development, and integration of innovative generative AI technologies into our search and recommendation systems. Your work will contribute to creating interactive experiences that redefine user engagement with our platform.Join us in an interdisciplinary environment focused on maintaining and advancing the technological frontiers of Spotify. By publishing your findings, you will not only enhance our internal practices but also contribute to the broader research community. Our team enjoys strong collaborations with both internal product groups and external research entities.Key Expertise Areas: Information Retrieval, Recommendation Systems, Language Technologies, Foundational Models, Generative AI Technologies, and Machine Learning.

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 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

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.

We invite candidates to apply for the position that best aligns with their expertise. If we find a better fit for your profile, we will contact you about alternative opportunities. Position Overview: Conduct research utilizing statistical techniques, including time-series analysis, machine learning, and natural language processing to derive insights from data. Analyze extensive data sets employing advanced statistical and machine learning methodologies to uncover trading opportunities. Collaborate in developing statistical and machine learning tools to address complex data-related challenges across the organization. Typical Day: Engage in researching innovative statistical and machine learning techniques and exploring various datasets throughout the day. Present and discuss research findings with fellow researchers. Deploy and oversee models utilized for generating trading signals.

At Intercom, we are revolutionizing customer service through artificial intelligence, empowering businesses to deliver outstanding customer experiences.Our AI agent, Fin, stands as the most sophisticated customer service AI agent available, allowing companies to provide continuous, flawless customer support, ultimately enhancing customer interactions. Fin seamlessly integrates with our Helpdesk to form the Intercom Customer Service Suite—a comprehensive solution that offers AI-augmented assistance for more complex or high-touch inquiries that necessitate human intervention.Since our inception in 2011, Intercom has earned the trust of nearly 30,000 businesses worldwide and is setting a new benchmark in customer service. Guided by our core values, we consistently push boundaries, work with speed and intensity, and deliver exceptional value to our clients.What’s the Opportunity?The Machine Learning team at Intercom is tasked with defining innovative ML features, researching suitable algorithms and technologies, and quickly delivering initial prototypes to our customers.Our team is deeply product-focused, collaborating closely with Product and Design teams. Our dedicated ML product engineers enable rapid transitions to production, often launching beta versions just weeks after successful offline testing.We are passionate about harnessing machine learning technology, having productized everything from traditional supervised models to cutting-edge unsupervised clustering algorithms and novel transformer neural network applications. We rigorously evaluate the real customer impact of each model we deploy.What Will I Be Doing?Identifying opportunities where machine learning can add value for our customers.Defining the appropriate ML framing for product challenges.Collaborating with teammates and stakeholders from Product and Design.Conducting exploratory data analysis and research.Gaining a deep understanding of the problem areas.Researching and selecting the most suitable algorithms and tools.Being pragmatic while pushing the boundaries of innovation when necessary.Performing offline evaluations to validate algorithm effectiveness.Working alongside engineers to transition prototypes into production.Planning, measuring, and sharing insights to guide iterative development.Collaborating closely with the team and others to create exceptional ML products.