Research Scientist - Personalization

On-site Full-time

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Qualifications

Ph. D. in Computer Science, Machine Learning, Data Science, or a related field. Proven experience in developing machine learning algorithms and models. Strong understanding of information retrieval and recommendation systems. Experience with generative AI technologies and foundational models. Excellent communication skills, with a track record of publishing research findings. Ability to work collaboratively in a fast-paced, interdisciplinary team.

About the job

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.

About Spotify

Spotify is a global leader in audio streaming, connecting over 600 million users to a world of music, podcasts, and audiobooks. We pride ourselves on our innovative approach to personalization, assisting users in discovering content that resonates with their preferences and promotes exploration. Our mission is to enrich lives through audio and foster a community of creators and listeners alike.

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Research Scientist/Engineer - Science of Scheming

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Full-time|On-site|London

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.

Feb 13, 2026

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Research Scientist - Applied Large Language Models

Isomorphic Labs

Full-time|On-site|London

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.

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Principal Research Scientist

physicsx

Full-time|On-site|London, United Kingdom

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Senior AI Research Scientist at Axon | England

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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.

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Associate Director of Equity Research

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About the RoleJoin Woozle Research as an Associate Director in our dynamic London or Glasgow office. This pivotal leadership role is designed for seasoned professionals eager to influence high-caliber primary research utilized by leading hedge funds, private equity firms, and consultancies worldwide.Your key responsibilities include leading a team of Analysts and Associates, ensuring our deliverables consistently surpass client expectations, and nurturing lasting partnerships with investors and decision-makers.If you are passionate about guiding teams, enhancing client relationships, and delivering impactful market insights, we want to hear from you!

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physicsx

Full-time|On-site|London, United Kingdom

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Research Scientist, Gemini Diffusion

DeepMind Technologies Limited

Full-time|On-site|London, UK

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.

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Research Scientist in Reinforcement Learning

DeepMind Technologies Limited

Full-time|On-site|London, UK

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.

Mar 14, 2026

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Research Scientist/Engineer in AI Evaluations

Apollo Research

Full-time|On-site|London

Application Deadline: We are actively interviewing candidates and aim to fill this position promptly with the right individual.ABOUT THE ROLEAt Apollo Research, we conduct evaluations that meticulously assess the risks associated with advanced AI systems. Collaborating with leading laboratories such as OpenAI, Anthropic, and Google DeepMind, you will have the unique opportunity to engage with cutting-edge AI models ahead of their public release. The ideal candidate possesses a passion for rigorously testing state-of-the-art AI technologies and excels in creating and automating efficient evaluation pipelines.YOUR RESPONSIBILITIES WILL INCLUDE- Conducting pre-deployment evaluation campaigns on the world's most advanced AI systems. Our partnerships with various labs provide access to a wide range of models that no single lab can offer, allowing you to be among the first to engage with new models.- Exploring AI cognition by analyzing extensive model transcripts to identify novel behavioral patterns that have yet to be documented. These insights can be both surprising and enlightening, including phenomena like non-standard language and reward-seeking reasoning as discussed in our anti-scheming paper.- Developing new evaluations for frontier risks, creating innovative test environments, and scaling these across multiple scenarios.- Collaborating with leading AI developers to share your insights, receive feedback, and ensure your evaluations influence the deployment strategies of the most advanced AI systems.- Optimizing and automating the evaluation pipeline. We utilize automation in building, executing, and analyzing evaluations. As agent capabilities evolve rapidly, you will have the autonomy to reshape the pipeline to keep pace with these advancements.KEY REQUIREMENTS

Feb 13, 2026

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Senior Research Scientist, Cohere Labs

Cohere

Full-Time|On-site|London

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...

Sep 22, 2025

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Collaborating Research Scientist

HeartFlow Inc.

Full-time|On-site|London, United Kingdom

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.

Feb 26, 2026

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Researcher in Model Architecture at Cartesia | London

Cartesia

Full-time|On-site|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.

Oct 7, 2025

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Senior Research Scientist - AI Safety

Faculty

Full-time|On-site|London

Why Join Faculty?Founded in 2014, Faculty is at the forefront of artificial intelligence, believing it to be the most transformative technology of our era. Over the years, we have partnered with more than 350 clients globally, enhancing their performance through human-centered AI solutions. Our tangible impact can be explored here.We prioritize genuine innovation over fleeting trends. Our commitment lies in developing and implementing responsible AI that significantly influences outcomes. Our diverse clientele includes sectors such as government, finance, retail, energy, life sciences, and defense, all of whom benefit from our profound expertise in technology, product development, and delivery.Our rapidly expanding business and reputation drive us to seek individuals who share our passion for intellectual exploration and aspire to create a positive technological legacy.AI is a groundbreaking technology; at Faculty, you will have the freedom to conceive its most impactful applications and bring them to fruition.About Our TeamThe Research team at Faculty is dedicated to critical red teaming and developing evaluations for misuse capabilities in sensitive domains, including CBRN, cybersecurity, and international security. We collaborate with leading frontier model developers and national safety institutes, and our contributions have been recognized in OpenAI's system card for o1.We also engage in fundamental technical research focused on mitigation strategies, with our findings presented at peer-reviewed conferences and shared with national security organizations. Additionally, we create evaluations for model developers across various safety-related areas, highlighting our comprehensive expertise in the safety domain.Role OverviewWe are in search of a Senior Research Scientist to join our high-impact R&D team. You will spearhead innovative research that enhances scientific understanding and drives our goal of developing safe AI systems. This is a vital role within a small, empowered team that conducts essential red teaming and evaluations for frontier models in sensitive fields such as cybersecurity and national security, allowing you to influence the future of safe AI deployment in real-world scenarios.

Nov 12, 2025

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Research Scientist - Personalization

Spotify

On-site|On-site|London

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.

Mar 28, 2025

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Research Scientist in Machine Learning

Isomorphic Labs

Full-time|On-site|London

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.

Mar 20, 2026

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Technical Staff Member - Research in AI Models - London

Full-time|On-site|London

Location: LondonCompany: H About H H is focused on building agentic AI that automates complex, multi-step tasks typically handled by people. The company’s goal is to help individuals achieve more by creating superintelligent systems that work safely and responsibly. H values openness, continuous learning, and collaboration. Every team member’s input matters here. About the Models Team The Models team develops the core models that power H’s agentic AI technology. This group works on training methods to boost model performance and efficiency, especially for agent-driven applications where inference costs matter. Projects span Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to interpret and interact with complex environments. Team members refine these models using advanced training approaches, including reinforcement learning and reward modeling. The focus is on better instruction following, tool use, and dynamic interaction. The team’s work bridges research and product, turning new research into practical solutions that move AI forward. Who Hires Here H seeks exceptional AI researchers and engineers from around the world who care about advancing technology safely and responsibly. The company welcomes those eager to shape the future of superintelligent AI alongside a collaborative and driven team.

Apr 14, 2026

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Senior Research Scientist in Reinforcement Learning at Canva | London

Canva

Full-time|On-site|London

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.

Feb 25, 2026

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Machine Learning Researcher - Generative Modeling Expert

latentlabs

Full-time|On-site|London

Join latentlabs as a distinguished Machine Learning Researcher specializing in generative modeling. You will collaborate with a diverse team of machine learning experts, protein engineers, and biologists, all dedicated to revolutionizing biological control and disease treatment. Your primary focus will be to design innovative generative models aimed at creating new proteins that demonstrate functionality in wet lab assays.Who You AreExpert in Machine Learning Research. You possess substantial experience in generative modeling and have contributed to significant machine learning projects, as evidenced by your involvement in prominent open-source libraries, impactful product launches, or high-caliber publications at conferences such as NeurIPS, ICML, or ICLR.Skilled ML Developer. You produce robust, well-tested, and maintainable ML code. Your familiarity with version control and code review practices ensures high-quality development. You excel at rapid prototyping while also crafting polished production-ready code, with experience in running training and inference on cloud infrastructure.Data Engineering Proficient. You have a strong background in creating ML data pipelines for training and evaluating deep learning models. You’re skilled at analyzing raw data, creating effective dataset splits, and building scalable pipelines.Passionate About Model Performance. Your deep understanding of ML libraries, hardware interactions, and data optimization enables you to enhance the performance of deep learning models, focusing on training and inference speed and validation metrics.Driven and Inquisitive. You have a strong desire to effect positive change, whether for patients or customers. You adapt flexibly to diverse methodologies and are curious about challenges, no matter their scale. Your ability to thrive in a fast-paced environment allows you to achieve goals effectively.What Sets You ApartExperience in Computational Biology or Protein Design. You have engaged in ML-driven projects within the biological domain.Natural Sciences Background. Your foundation in natural sciences supports your work in machine learning applications.

Feb 19, 2026

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