Technical Staff Member - Model Training

Who are we?At Cohere, we are committed to harnessing intelligence to benefit humanity. Our mission focuses on training and deploying advanced models for developers and enterprises, empowering the creation of innovative AI systems that drive exceptional experiences in areas like content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. We believe our contributions are vital for the widespread integration of AI technologies.We take immense pride in our creations. Each team member is empowered to enhance the capabilities of our models and the value they deliver to our clients. We thrive in a fast-paced environment and prioritize actions that best serve our customers.Cohere comprises a talented team of researchers, engineers, designers, and other specialists who are dedicated to their craft. Our diverse perspectives are crucial for developing exceptional products.Join us in shaping the future of AI!Why is this role important?In this position, you will push the boundaries of model post-training, deploying state-of-the-art models into production while bridging the divide between research and real-world application. With one of the highest compute-to-engineer ratios globally, we foster collaboration between engineering and research, allowing everyone to contribute to production code and support research initiatives based on their interests and organizational needs. You will have access to the resources you need to excel.Please note: We have offices in London, Paris, Toronto, San Francisco, and New York, but we also support a remote-friendly work culture!As a Technical Staff Member, your responsibilities will include:Developing and implementing high-performance, scalable software for model training.Consistently performing post-training of models to achieve state-of-the-art performance.Collaborating with specialized teams (Agentic, Code, etc.) to create models with comprehensive performance metrics.Designing and executing strategies to enhance performance and outcomes during training cycles, including supervised fine-tuning (SFT) and reinforcement learning (RL).Conducting research and experimentation using our advanced supercomputing and data infrastructures.Learning from and collaborating with leading researchers in the AI field.Ideal candidates will possess:Exceptional software engineering capabilities.A strong understanding of machine learning frameworks and tools.Experience in collaborative development and version control systems.A passion for continuous learning and applying innovative solutions.

Join Cohere as a valued member of our technical staff, focusing on the safety of our agents. In this critical role, you will be responsible for designing, implementing, and maintaining safety protocols that ensure the integrity and security of our systems. Collaborate with cross-functional teams to develop innovative solutions that enhance agent safety and improve operational efficiency.

Who are we?At Cohere, our mission is to harness and scale intelligence for the betterment of humanity. We are dedicated to training and deploying cutting-edge models that empower developers and enterprises to create astonishing AI-driven experiences such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. We believe that our innovations play a crucial role in the mainstream adoption of AI technologies.We take great pride in the products we develop. Every team member contributes to enhancing our models' capabilities and the value they deliver to our customers. Our culture is driven by hard work and a commitment to swift execution that prioritizes our clients' needs.Cohere is composed of a diverse team of researchers, engineers, designers, and more, all of whom are passionate about their respective fields. Each individual is among the best globally in their area of expertise. We firmly believe that a wide array of perspectives is essential for creating outstanding products.Join us in our quest to shape the future of AI!Why this role?As a Performance Engineer within our Pre-Training team, you will play a pivotal role in optimizing the efficiency and performance of our advanced language models and systems. Your primary focus will be on enhancing critical model training metrics, including training throughput and maximizing accelerator utilization.This team merges software engineering, machine learning, and low-level kernel design expertise to develop robust systems that elevate model performance. You will actively identify and eliminate performance bottlenecks, while also creating innovative training and profiling tools that support Cohere's mission of delivering efficient and reliable language understanding and generation capabilities, thereby driving advancements in natural language processing.Note: While we have offices in London, Toronto, New York, and San Francisco, we are also remote-friendly! This team primarily operates between Eastern Time (ET) and Central European Time (CET), so we are looking for candidates in locations aligned with these time zones for effective collaboration.As a Technical Staff Member, your responsibilities will include:Crafting and developing high-performance, scalable software solutions for model training.Comprehending architectural modifications and design choices and their impacts on training throughput and quality.Writing low-level CUDA and Triton kernels to maximize performance from our accelerators.Conducting research, implementation, and experimentation on our supercomputing and data infrastructure.Collaborating with and learning from top researchers in the field.

About xAIAt xAI, we are on a mission to develop advanced AI systems that deeply comprehend the intricacies of the universe while assisting humanity in its quest for knowledge. Our team is compact, highly driven, and dedicated to engineering excellence. We are looking for individuals who embrace challenges and thrive on curiosity. Operating with a flat organizational structure, we encourage all employees to be proactive and contribute directly to our mission. Leadership is awarded to those who demonstrate initiative and consistently achieve high standards. A strong work ethic and effective prioritization skills are essential. Excellent communication skills are expected, enabling team members to share knowledge clearly and concisely.About the PositionAs a Technical Staff Member, you will be responsible for developing frameworks to enhance reasoning capabilities, constructing distributed reinforcement learning systems, and implementing inference time computation techniques (such as tree search and planning). You will also create environments for agents, gaining exposure to a wide range of components across the entire technical stack.Tech StackPythonJAXRustFocus AreasDevelop robust and scalable distributed reinforcement learning systems.Optimize frameworks for complex inference-time reasoning tasks.

About MentisAt Mentis, we are dedicated to creating reliable AI solutions for critical sectors such as finance, healthcare, and legal. Our team specializes in developing meticulously curated evaluation datasets and reinforcement learning environments. We empower AI labs and startups by providing them with expertly crafted training data, calibrated assessment rubrics, and rigorous task environments to push the boundaries of AI capabilities in regulated industries.As a tight-knit team based in London, we pride ourselves on our agility and commitment to excellence. Every member plays a vital role in our mission, and we value initiative and ownership in our collaborative work culture. If you are passionate about shaping the future of frontier AI applications, we want to hear from you.About the RoleAs a Software Engineer and Member of Technical Staff, you will be instrumental in building and scaling the platform that drives Mentis' operations. You will develop essential annotation tools, workflow systems, quality control pipelines, and internal infrastructure fundamental to every dataset and environment we deliver.Your daily tasks will include designing expert task creation workflows, creating task assignment and review interfaces, developing data pipelines to convert expert outputs into structured training sets, and integrating LLM-powered tools into our product. Your role will vary from product engineering to infrastructure development, with a consistent focus on producing high-quality evaluation data at scale.You will take ownership of the platform's development, making key decisions on what features to build, how to implement them, and establishing the standards for our growth.What You'll DoDevelop and manage the core data annotation and workflow platform from start to finish, overseeing task assignment, expert interfaces, quality control, and dataset delivery.Design systems that facilitate expert onboarding, task routing, review workflows, and scalable quality assurance processes.Enhance AI-integrated pipelines across the platform, including LLM-assisted annotation, automated checks, and model-in-the-loop workflows.Collaborate directly with founders and domain experts to streamline bespoke processes into effective, scalable software solutions.Make informed product and engineering decisions in a dynamic environment, prioritizing and shipping features without waiting for perfect specifications.Contribute to defining our team’s development practices, including tooling choices, engineering standards, and product strategy.Who We're Looking ForWe seek a proactive individual who thrives in fast-paced environments and embraces ambiguity. If you are excited about the opportunity to influence how AI learns and operates in real-world settings, we welcome your application.

About H:H is at the forefront of advancing superintelligence through agentic AI. Our mission is to automate complex, multi-step tasks usually undertaken by humans, empowering AI agents to unlock the full potential of human capabilities.We are on the lookout for the brightest AI minds who are as committed to building safely and responsibly as they are to pushing the boundaries of disruptive agentic technologies. At H, we foster a culture of openness, continuous learning, and collaboration, where every voice contributes to our shared success.About the Team: The Infrastructure team is dedicated to providing seamless access to the necessary infrastructure for our research and engineering teams. We ensure that the foundational infrastructure for our public services is robust, reliable, and scalable, positioning Infra team members to influence every aspect of H, from foundational model development to agent creation and public service delivery.Key Responsibilities:Design and manage infrastructure to support:Research initiatives in model and agent development, including training infrastructure, data pipelines, and inference capabilities.Product engineering efforts on H's agent platform, encompassing client-facing APIs and agent runtimes across multiple deployment scenarios (multi-tenant and on-premises).Establish and maintain observability and monitoring strategies.

Join OpenCoreOS as a Systems Engineer!At OpenCoreOS, we redefine banking technology with our innovative, hyper-performant ledger solutions. Utilizing cutting-edge programming languages like Go and Rust, along with multi-region distributed databases, we empower financial institutions to build on a robust, open foundation instead of a cumbersome monolithic structure.Why Choose Us?Designed for AI: AI isn't just an add-on; it's integrated into our operations, enhancing autonomous workflows and creating intelligent, self-healing systems.Unyielding Reliability: We aim for five-nines reliability to ensure our platform can handle the scale of Tier-1 banks, managing millions of daily transactions without compromising consistency.Industry Expertise: Our leadership team merges strategic insights from seasoned banking professionals with practical experience, ensuring we understand the market dynamics we are transforming.Your Role:Core Financial Systems: Develop mission-critical services ensuring accurate value recording and transfer.Transaction Processing: Create reliable transaction flows that maintain integrity during retries and partial failures.Performance Optimization: Profile and enhance key pathways to ensure predictable latency and scalable throughput.Reliability & Observability: Advance metrics, tracing, logging, and incident readiness for our production systems.AI-Enhanced Development: Utilize and refine AI-driven workflows for improved debugging, operations, and developer efficiency.Core Responsibilities:Manage production systems from start to finish.Enforce safety and correctness through rigorous testing and change management.Troubleshoot distributed and system-level challenges (concurrency, performance, data consistency).

About UsAt Cohere, we are on a mission to expand intelligence in a way that benefits humanity. We specialize in training and deploying advanced models for developers and enterprises aiming to create AI systems that deliver extraordinary experiences, including content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. We are committed to fostering the widespread adoption of AI technology.We take immense pride in what we create. Each team member plays a vital role in enhancing the capabilities of our models and the value they provide to our customers. We thrive in a fast-paced environment where hard work and customer-centricity lead our decisions.Cohere comprises a dynamic group of researchers, engineers, designers, and creatives who are passionate about their work. Our team members are among the best in their fields, and we believe that diverse perspectives are essential for crafting exceptional products.Join us in shaping the future of AI!Why This Role is ExcitingAs a Member of Technical Staff at Cohere, you will be pivotal in defining and developing the future of AI-driven products. This role provides you with the opportunity to convert groundbreaking research into high-performance products that propel our enterprise forward. You will work directly on North, our comprehensive and secure AI workspace platform, focusing on agent development in RAG, tool utilization, and language agents.We boast one of the highest compute-to-engineer ratios globally, offering an environment where your ideas can thrive and be swiftly brought to market.Please note: We have offices in London, Paris, Toronto, San Francisco, and New York. However, we also support remote work within EMEA-friendly time zones. Our team primarily operates between ET and CET, so we are looking for candidates in locations that align with these hours for effective collaboration.As a Member of Technical Staff, your responsibilities will include:Collaborating with a diverse team of engineers to design, build, and scale AI systems that form the backbone of our suite of developer-centric enterprise products.Contributing directly to North, our all-in-one secure AI workspace platform, where you will lead agent development in RAG, tool usage, and language agents.Rapidly researching and experimenting with innovative ideas on our advanced supercomputer and data infrastructure to keep our products at the cutting edge of the industry.Partnering with leading researchers, engineers, and annotators to generate and evaluate data for post-training large language models (LLMs), ensuring our products are top-notch.

About OpenCoreOSA High-Performance Ledger: We deliver an ultra-efficient ledger built on Go, Rust, and multi-region distributed databases, providing banks with a robust, adaptable, and open framework for development, rather than a restrictive monolithic structure.AI-Integrated Solutions: AI is not merely an enhancement; it's an integral aspect of our system architecture. We leverage AI to facilitate autonomous operations, create dynamic development workflows, and establish a self-optimizing platform.Reliability and Openness: Our focus is on achieving five-nines reliability and unwavering consistency, designed to support Tier-1 banks that handle hundreds of millions of transactions daily. By utilizing open technologies and forging new standards, we promote innovation without imposing lock-in constraints.Leadership with Proven Expertise: Our leadership team merges the strategic vision of former McKinsey banking, product, and engineering specialists with the real-world experience of a founder who developed and scaled a mission-critical fintech solution for the world's largest banks. This is complemented by insights from ex-global bank CIOs, providing us with an unmatched understanding of the evolving market landscape.Your RoleLedger Engine: Develop a deterministic, event-sourced transaction engine.Interest & Pricing Engine: Perform high-precision financial calculations.Reconciliation Engine: Ensure invariants, controls, and cross-ledger consistency.Operational Data Store (ODS): Manage a real-time operational data plane.Scalability Layer: Address concurrency, throughput, partitioning, and replication challenges.AI-Driven Development Experience: Work with MCP servers, agent workflows, and automated runbooks.Your Key ResponsibilitiesCreate initial MVPs for Tier-1 banks.Design distributed systems leveraging Go, Kafka, and distributed SQL databases.Manage systems throughout the entire SDLC (coding, testing, DevOps, infrastructure, product development).Implement advanced CI/CD practices and testing automation.

Technical Staff Member - Applied AIExciting Opportunity Awaiting YouWe are seeking a talented Member of Technical Staff specializing in generative modeling to bridge the gap between our cutting-edge models and the clients who rely on them. You will be a part of a diverse team comprising machine learning experts, protein engineers, and biologists, all collaboratively working to revolutionize biological control and disease treatment. In this role, you will gain a thorough understanding of our proprietary generative models and leverage that expertise to adapt, deploy, and optimize these models in client environments, especially within the pharmaceutical and biotech industries.This is a hybrid position requiring a research-oriented mindset coupled with excellent communication skills to effectively translate complex concepts into practical production systems that yield scientific benefits for our partners.About Latent LabsAt Latent Labs, we are committed to developing pioneering models that grasp the fundamentals of biology. Our ambitious goals are driven by curiosity and an unwavering commitment to scientific excellence. Our team previously contributed to the award-winning AlphaFold project at DeepMind, invented latent diffusion, and established groundbreaking lab data management and high-throughput protein screening systems. At Latent Labs, you'll collaborate with some of the brightest minds in generative AI and biology.We foster an environment of interdisciplinary exchange, continuous learning, and collaboration. Our offsite team-building activities promote a culture of trust across our London and San Francisco offices.We are looking for innovative thinkers who are passionate about solving complex challenges and making a positive global impact. Join us on our ambitious mission!

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

About xAIAt xAI, we are dedicated to developing AI systems that possess a profound understanding of the universe, ultimately assisting humanity in its quest for knowledge. Our compact team is driven, motivated, and committed to engineering excellence, making our organization ideal for individuals who relish challenges and foster curiosity. We pride ourselves on a flat organizational structure where every employee plays a vital role in advancing our mission. We recognize initiative and excellence in our leadership approach, and emphasize the importance of work ethic and prioritization skills. Strong communication abilities are crucial, enabling team members to share knowledge clearly and effectively.About the RoleThis newly established civilian team is focused on engineering and deploying xAI's AI capabilities (models, APIs, tools, and integrations) for international government agencies, regional and local administrations, and public sector workflows globally. We are building the bridge to responsible, impactful AI adoption. Team members will have opportunities for travel and international assignments, primarily in the Americas, Asia, and the Middle East. You will collaborate closely with product, research, infrastructure, and legal/governance teams to ensure that Grok and future models serve global civilian missions effectively while maintaining safety, transparency, and ethical standards.ResponsibilitiesDesign, build, and optimize integrations between xAI's frontier models (e.g., Grok family) and international government systems, platforms, and data environments.Develop secure, scalable solutions for applications such as policy analysis, educational technology, scientific research support, public health modeling, regulatory workflows, and citizen-facing services across diverse global contexts.Collaborate on custom SDKs, APIs, developer tools, and documentation tailored for international government and enterprise developers.Engage with international agency stakeholders to understand requirements, prototype solutions, and iterate based on feedback.

Tessl is an innovative Series A startup headquartered in London, founded by the visionary Guy Podjarny. With over $100M raised from esteemed investors such as Index Ventures, Accel, GV, and Boldstart, we have been recognized among the top players in the industry, ranking #2 in Sifted EU’s B2B SaaS Rising 100 and #20 in Sifted's AI 100 this year.At Tessl, we are on a mission to redefine software development through the power of AI. Our AI Native Developers are pioneering a new approach, defining features, architecture, and workflows through specifications rather than code, effectively guiding the work of AI agents. We are at the forefront of creating a groundbreaking platform that embodies this transformative vision, leading a developer movement and ecosystem.Joining Tessl means becoming an integral part of an early-stage team where you have the chance to influence the future of software creation and maintenance.

About ApturaAptura specializes in creating evaluation datasets and reinforcement learning (RL) environments that enhance the reliability of AI across high-stakes sectors such as finance, healthcare, and legal domains. Our dedicated team curates expert training data, develops calibrated evaluation rubrics, and constructs verifiable task environments tailored for AI labs and startups that are innovating within regulated industries.As a compact and agile team based in London, we prioritize speed and take our work seriously. Each team member plays a crucial role, where initiative is celebrated, and ownership is a fundamental expectation. If you aspire to influence how advanced AI systems learn to function in real-world applications, we encourage you to apply.About the RoleIn the role of a Technical Staff Member on our Applied AI team, you will create the tasks and environments essential for AI labs to train and assess their agents across finance, healthcare, and legal sectors.Your daily responsibilities will include constructing RL environments using spreadsheets, documents, and professional workflows. You will develop verification logic and reward functions, collaborating closely with domain experts to define the criteria for accurate responses in complex models such as leveraged buyouts or clinical notes. Your work may oscillate between engineering and research, but the unifying objective is to deliver the ground truth against which leading models are evaluated.What You'll DoDevelop RL environments tailored to the finance, healthcare, and legal sectors.Collaborate in creating tasks with definitive answers, calibrated evaluation criteria, and automated reward signals.Design verification logic and reward functions to differentiate between effective and ineffective model outputs.Engage with domain experts (investment analysts, healthcare professionals, attorneys) to convert intricate professional workflows into structured tasks.Prototype innovative methods for evaluation, verification, and synthetic data generation.Who We're Looking ForHands-on experience with large language models (LLMs): including prompting, evaluation, and agentic harnesses. You have developed functional systems instead of merely theoretical models.High initiative and technical proficiency. You don’t wait for permission, specifications, or a detailed plan. You identify what needs to be accomplished, determine how to achieve it, and execute effectively.Ability to adapt to varied contexts. Your role will involve switching between engineering tasks, evaluation design, and close collaboration with domain experts frequently within a single day.You are proactive in shipping and iterating. In our small team, there’s no room for work that remains in limbo.

About MentisAt Mentis, we specialize in developing evaluation datasets and reinforcement learning environments that ensure AI reliability in high-stakes sectors such as finance, healthcare, and legal. Our dedicated team curates expert training data, establishes precise rubrics, and creates verifiable task environments for AI laboratories and startups that aim to push the boundaries of model capabilities within regulated industries.As a dynamic, close-knit team based in London, we pride ourselves on our ability to adapt quickly and tackle challenges with seriousness. Every team member plays a direct role in our projects, and we value initiative and ownership as key components of our work culture. If you're interested in influencing how cutting-edge AI learns to function in real-world scenarios, we would love to hear from you.About the RoleAs a Member of the Technical Staff within our Applied AI team, your primary focus will be on creating the tasks and environments utilized by AI labs to train and assess their agents across finance, healthcare, and legal domains.Your daily responsibilities will include: designing reinforcement learning environments around documents, spreadsheets, and professional workflows; developing verification logic and reward functions; collaborating with domain experts to define what constitutes a correct response in various scenarios, such as an LBO model or clinical notes. This role will involve both engineering and research activities, with the common goal of producing the ground truth against which advanced models are evaluated.What You'll DoDevelop reinforcement learning environments across finance, healthcare, and legal sectors.Contribute to the design of tasks featuring definitive answers, calibrated rubrics, and programmatic reward signals.Implement verification logic and reward functions to differentiate between effective and ineffective model outputs.Engage directly with domain experts (investment analysts, physicians, attorneys) to convert intricate professional workflows into structured tasks.Innovate new methods for evaluation, verification, and synthetic data creation.Who We're Looking ForHands-on experience with large language models (LLMs), including prompting, evaluation, and agent integration. You’ve developed systems that function effectively, not just theoretical models.Demonstrated initiative and technical proficiency. You proactively identify needs, determine solutions, and execute them without waiting for directives.Adaptability to work in diverse contexts. Your role will frequently involve shifting between engineering, evaluation design, and collaborative work with domain experts.A commitment to delivering and refining outputs. In our small team, we prioritize action over prolonged review processes.

Latent Labs is on the lookout for an exceptionally talented Member of Technical Staff to spearhead the creation of innovative reasoning workflows. In this role, you will develop autonomous systems capable of executing intricate scientific tasks through natural language interactions. Your responsibilities will include architecting and deploying reasoning systems that democratize access to pioneering synthetic biology tools, empowering researchers globally to utilize our advanced models via user-friendly chat interfaces.About Us:At Latent Labs, we are dedicated to advancing the frontier of biological understanding through our state-of-the-art models. Our team is driven by curiosity and a commitment to scientific excellence, having previously co-developed DeepMind's Nobel-prize winning AlphaFold, innovated latent diffusion techniques, and crafted groundbreaking lab data management systems along with high-throughput protein screening platforms. Joining Latent Labs means collaborating with some of the brightest minds in generative AI and biology.We foster an environment of interdisciplinary collaboration, continuous learning, and trust, with enriching team offsites bridging our London and San Francisco locations. We seek passionate innovators eager to address complex challenges while maximizing positive global impact. Join us on our ambitious moonshot mission.

About the Role XAI is hiring a Member of Technical Staff for the X Money team in London. This role focuses on building and improving financial technology products that support the company's mission. What You Will Do Design, develop, test, and deploy software features for the X Money platform Work closely with engineers and other professionals to deliver reliable and secure solutions Help ensure the platform meets standards for performance, scalability, and security Who We’re Looking For Technical staff with a strong interest in financial technology Comfortable taking on challenging projects and collaborating with others Ready to contribute ideas and take ownership of solutions Location This position is based in London, UK.

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.

About UsAt Cohere, our mission is to amplify intelligence for the benefit of humanity. We are at the forefront of training and deploying advanced models that empower developers and enterprises to create innovative AI experiences, including content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. Our work is pivotal in driving the widespread integration of AI technologies.We are passionate about our creations and each team member plays a critical role in enhancing our models' capabilities and the value they deliver to our clients. Our work culture is fast-paced and dedicated to optimizing customer satisfaction.Cohere's diverse team of researchers, engineers, designers, and industry experts share a common passion for excellence. We value a variety of perspectives as essential to crafting exceptional products.Join us on this exciting journey to shape the future of AI!Why Join Our Team?The Next Generation Agents team is pioneering the development of agentic large language models (LLMs) that are being adopted across enterprises via Cohere’s North platform. We are dedicated to exploring innovative modeling techniques that enhance agent capabilities, such as deep research, experiential learning, continual learning, and memory integration. Our empirical research approach focuses on creating solutions that surpass current state-of-the-art methodologies, ensuring added value for our customers.In this role, you will drive the exploration and development of cutting-edge agentic techniques. You'll have the opportunity to create the models that underpin our agentic solutions, including the development of data-generation techniques for post-training (SFT and RL*) for Cohere’s models.Please Note: We maintain offices in London, Paris, Toronto, San Francisco, and New York, and we are committed to a remote-friendly approach! This team primarily collaborates within the ET to CET time zones, so we encourage candidates located in these areas for effective teamwork.As a Technical Staff Member for Next Generation Agents, you will:Design and implement innovative agentic solutionsEnhance existing capabilities on challenging agentic tasksInvestigate the future of online learning and self-improvement techniquesCollaborate with interdisciplinary teams (Reasoning, Post-training, Pre-training, etc.) to boost the performance of agentic systemsConduct empirical research to advance agentic technologies