Cohere

Research internship focused on combining self-distillation and reinforcement learning for LLMs, with applications to code generation and agentic tasks. Investigates mechanisms for handling extremely large rollouts in RLVR to advance state-of-the-art in LLM training.

Senior Research Scientist at Cohere Labs focused on driving an independent, high-impact research agenda on frontier topics in AI, with a focus on publishing findings openly and engaging with societal implications. The role involves exploring ambitious questions, advancing frontier research, and guiding new researchers.

Senior Solutions Architect at Cohere, focusing on pre-sales and post-sales technical engagements for enterprise AI solutions. The role involves building customer demos and proof-of-concepts, translating business needs into technical solutions using Cohere's foundation models, fine-tuning, custom agents, and agent orchestration. Responsibilities include supporting deployment, leading technical discussions, and providing customer feedback to the product team.

Cohere is seeking Research Interns to collaborate on designing and implementing novel research ideas and shipping state-of-the-art models to production. Interns will conduct cutting-edge machine learning research, build and train large language models, and focus on expanding the frontier of knowledge in language modeling and related areas. Research results will be disseminated through publications, datasets, and code, contributing to practical applications in Cohere's product development.

Manager of Technical Staff for Sovereign AI at Cohere, focusing on training and deploying frontier LLMs. The role involves leading a team of scientists and engineers, staying current with LLM research, and developing scalable strategies for training models. Requires a PhD, publication record, team management experience, and strong software engineering skills.

Cohere is seeking a Member of Technical Staff for their Safety for Agents team. This role focuses on developing better, fairer, and more trustworthy LLMs by working on data generation, post-training algorithms, and evaluation methods for AI safety. The position involves collaboration with ML, data annotation, product, and policy teams, and requires strong statistical, software engineering, and data analysis skills. The ideal candidate will have experience training LLMs and evaluating their generalizability and robustness, with a publication record in top-tier venues.

Cohere is seeking Research Interns to collaborate on designing and implementing novel research ideas and shipping state-of-the-art models to production. Interns will conduct cutting-edge ML research, build and train LLMs, focus on expanding the frontier of knowledge in language modeling and related areas, and disseminate research results through publications, datasets, and code. The role involves contributing to research initiatives with practical applications in product development.

Solutions Architect for Cohere's Public Sector (Defense and National Security) business, focusing on building and deploying agentic AI solutions using Cohere's foundation models. Responsibilities include architecting scalable NLP/generative AI solutions, collaborating with customers to translate business needs into technical solutions (including fine-tuning and custom agents), supporting LLM deployment in production, and providing customer feedback to product development.

Product Manager for Cohere's North agentic AI platform, focusing on the execution layer (agent harness) which includes agent runtime, tool orchestration, context engineering, and co-evolution with the modeling team. The role requires deep understanding of LLM agent architectures and evaluation, with a focus on shipping platform-layer products.

Product Manager for Safety Research at Cohere, focusing on bridging AI safety research with the North agentic AI platform. The role involves translating research findings into product-level safety features, defining the safety product roadmap, partnering with modeling teams on evaluations, and coordinating the development of guardrails and intervention mechanisms. Requires technical depth to engage with researchers and product instincts for translating insights into actionable product strategies.

Cohere is seeking a Forward Deployed Engineer to build and ship features for their AI workspace platform, North. This role involves developing autonomous agents that interact with sensitive enterprise data, experimenting at high velocity, and leading end-to-end deployments in private cloud and on-premises environments. The engineer will act as a bridge between the North product and client engineering teams, solving complex problems and integrating AI into critical sectors.

Cohere Labs is seeking Research Engineers to build experiments, debug models, scale training pipelines, and turn research ideas into working systems. This role involves implementing new methods, running large-scale experiments, and shaping research infrastructure, with a focus on deep learning frameworks, model optimization, and collaboration with scientists.

Cohere is seeking an Applied AI Engineer to design, build, and deploy production-grade AI agents for enterprise customers. This role involves translating business problems into agentic workflows, integrating LLMs with tools and data, and ensuring agents are reliable, observable, safe, and auditable. The engineer will lead the full lifecycle from prototype to production, working closely with customers and internal teams.

Cohere is seeking an Applied AI Engineer to design, build, and deploy production-grade AI agents for enterprise customers. This role involves creating agentic workflows powered by LLMs, integrating them with various tools and data sources, and ensuring they are reliable, observable, safe, and auditable. The engineer will work closely with customers and internal teams to transform business workflows into scalable AI systems, balancing rapid iteration with enterprise-grade requirements.

Member of Technical Staff, Applied ML at Cohere, focusing on building and customizing LLM solutions for enterprise customers. This role involves training and customizing frontier models, integrating retrieval and agent capabilities, and contributing to the development of Cohere's foundation models based on customer insights. The position requires a blend of applied ML, customer-facing engineering, and core model influence.

Cohere is seeking a Senior/Staff Member of Technical Staff, Applied ML to work directly with enterprise customers on problems that push LLMs to their limits. This role involves designing custom LLM solutions, delivering production-ready models, and training/customizing frontier models using Cohere's full stack. The position also influences Cohere's foundation models and requires operating with early-startup level ownership. Responsibilities include technical leadership, solution design, modeling, customization, customer-facing impact, and team mentorship.

This role focuses on applying and customizing Cohere's frontier LLMs for enterprise customers, involving post-training, retrieval, and agent integrations. The individual will design and deliver production-ready models, influence the development of foundation models, and operate with significant ownership, combining application, research, and customer-facing engineering.

Cohere is seeking an Applied AI Engineer to build production-grade AI agents for enterprise customers. This role involves designing, building, and deploying agentic workflows powered by LLMs, integrating them with tools, APIs, and data sources. The engineer will focus on reliability, observability, safety, and audibility, working closely with customers and shaping how agentic systems are built and deployed.

Cohere is seeking a Senior ML Systems Engineer to build, maintain, and evolve the training framework for their frontier-scale language models. This role focuses on large-scale training, distributed systems, and HPC infrastructure, designing core components for fast, reliable, and scalable model training and developing tooling to connect research to GPU clusters. The position emphasizes full-stack ML systems ownership and impact.

Cohere is seeking a Member of Technical Staff for their Sovereign AI team in Canada. This role involves designing, building, and scaling agentic AI systems for mission-critical use cases, researching and implementing ideas on supercompute and data infrastructure, and executing across the full AI stack to ship products. The role requires Canadian citizenship and eligibility for security clearance, strong software engineering skills, proficiency in Python and ML frameworks, and experience with large-scale LLM training strategies. There is a strong emphasis on both research and production code.

Cohere is seeking a Staff Research Engineer focused on Model Efficiency to push the limits of LLM inference efficiency. This role involves exploring and shipping breakthroughs in model architecture, routing optimization, decoding algorithms, software/hardware co-design for GPU acceleration, and performance optimization without compromising model quality. The goal is to improve how fast and efficiently their foundation models run in production.

Cohere is seeking an engineer to improve LLM inference efficiency by optimizing model execution, reducing latency and increasing throughput. This role involves deep dives into model execution, identifying bottlenecks, and developing optimizations across the inference stack, including GPU/CUDA and kernel-level improvements.

Cohere is seeking a Forward Deployed Engineer, Prompt Specialist to help enterprises securely harness AI in mission-critical environments. This role involves acting as a bridge between Cohere's North platform and enterprise engineering teams, guiding engineers to deliver scalable agentic AI solutions in sectors like finance, healthcare, and telecommunications. The role focuses on prompt optimization, tool development and evaluation, core agent development, and designing customer-centric solutions.

Cohere is seeking a Senior Research Scientist focused on Model Evaluation to create next-generation evaluation methods and infrastructure for LLMs. This role involves developing new benchmarks, advancing state-of-the-art evaluation techniques, and building scalable tools to measure LLM progress and capabilities.

Cohere is seeking a Member of Technical Staff for their Agent Code team to research and develop cutting-edge code LLMs and agent systems for enterprises. The role involves designing and implementing training strategies, deploying agent frameworks, and leading experiments on frontier models, with a strong emphasis on both research and engineering.

Cohere is seeking an experienced ML researcher/engineer to push the frontiers of agentic LLM systems. This role involves exploring and developing agentic techniques, building models for agentic solutions, and working on strategies for training models for advanced agent capabilities like reasoning, tool use, and memory. The role also includes developing data-generation techniques for post-training (SFT and RL*), with direct impacts on Cohere's products.

This role focuses on developing and implementing next-generation evaluation methods and scalable infrastructure for measuring LLM progress. The Senior Research Engineer will create evaluation benchmarks, datasets, and environments, conduct research to advance LLM evaluation techniques, and build tools for analyzing evaluation results. The role requires a strong background in LLM evaluation, research, and software engineering.

Cohere is seeking a Member of Technical Staff to join their Next Generation Agents team. This role focuses on exploring and developing advanced agentic LLM systems, improving agent capabilities through research and empirical methods, and building production solutions. Responsibilities include designing novel agentic solutions, improving state-of-the-art on hard agentic tasks, researching online learning-from-experience, and collaborating with partner teams. Experience with LLMs, agentic frameworks, post-training techniques (SFT, PEFT, RL*), and synthetic data generation pipelines is required.

Cohere is seeking a Machine Learning Engineer specializing in pretraining data to develop data pipelines for their advanced language models. The role involves conducting data ablations, evaluating data quality, and constructing pre-training data mixtures to enhance model performance, directly contributing to improvements in training metrics like throughput and accelerator utilization.

This role focuses on advancing model post-training techniques to achieve state-of-the-art performance, bridging research and production. Responsibilities include designing and writing high-performance software for training, coordinating with specialist teams, crafting techniques for SFT and RL regimes, and researching/implementing ideas on infrastructure. The role requires strong software engineering skills, proficiency in Python and ML frameworks, and experience with distributed training infrastructures and large-scale model training, particularly in the post-training phase with performance optimization.

Cohere is seeking a Member of Technical Staff for their Search team to develop and improve state-of-the-art models for information retrieval, focusing on training embedding and reranker models. The role involves gathering and optimizing retrieval datasets, collaborating with serving and product teams, and engaging in research collaborations with a focus on publishing work.

Cohere is seeking a Member of Technical Staff, Training Infra Engineer to design and write high-performant and scalable software for model training. This role will improve training setup, craft tools to speed up training cycles, and research/implement ideas on supercompute and data infrastructure. The ideal candidate has strong software engineering skills, proficiency in Python and ML frameworks like JAX/PyTorch, and experience with distributed training infrastructures and large-scale distributed training strategies.

Cohere is seeking a Performance Engineer for their Pre-Training team to optimize the performance of advanced language models and systems, focusing on improving training throughput and accelerator utilization. The role involves designing and writing high-performance software, including low-level CUDA/Triton kernels, and researching ideas on supercompute and data infrastructure.

Cohere is seeking a Member of Technical Staff to join their North team, focusing on building and scaling AI systems for enterprise products. The role involves driving agent development in RAG, tool use, and language agents, translating research into products, and collaborating on data for post-training LLMs.

Cohere is seeking a Senior Member of Technical Staff to focus on Multimodal AI. This role involves designing and developing cutting-edge multimodal AI systems integrating text, speech, and vision. The candidate will conduct research and experiments on advanced compute infrastructure, exploring novel ideas in multimodal representation learning and transfer learning. The role requires strong software engineering skills, proficiency in Python and deep learning frameworks (JAX, PyTorch, TensorFlow), and knowledge of distributed training strategies for large-scale multimodal models. Experience with autoregressive models for tasks like image/video captioning and speech-to-text is beneficial. The ideal candidate enjoys tuning and optimizing large multimodal models and building evaluations to measure their performance.

Cohere is seeking a Member of Technical Staff, Modeling to design, build, and scale AI systems for serving users. This role involves researching, implementing, and experimenting with ideas on supercompute and data infrastructure, with a strong emphasis on both research and production code. The position requires strong software engineering skills, proficiency in Python and ML frameworks, experience with large-scale distributed training, and GPU programming.

Lead Member of Technical Staff, Inference Infrastructure at Cohere. Responsible for the design, deployment, and operation of the AI platform delivering large language models through API endpoints. Focuses on optimizing NLP models for low latency, high throughput, and high availability, with a strong emphasis on Kubernetes, GPU workloads, and multi-cloud environments. Requires extensive experience in production infrastructure, distributed systems, and technical leadership, including mentoring engineers and guiding strategic infrastructure decisions.

Cohere is seeking a Data Engineer to work on foundational infrastructure for AI systems, including storage, product launches, and customer experiences. The role involves collaborating with researchers and engineers, running implementations end-to-end, and partnering across departments to define growth strategies. The ideal candidate has 5+ years of experience in production-grade data processing systems, strong Python and SQL skills, and experience with distributed data processing frameworks.

Solutions Architect for Cohere's Public Sector business, focusing on technical pre-sales and post-sales. This role involves understanding customer problems, mapping them to Cohere solutions, building PoCs, and acting as a trusted technical advisor. Requires a Security Clearance and experience architecting/deploying NLP/AI/LLM solutions.

Cohere is seeking a Senior Software Engineer to build agentic AI infrastructure, focusing on the platform that powers autonomous AI agents at scale. This role involves creating secure execution environments, managing agent state, routing models, and handling resource management for agent workflows. The ideal candidate has strong systems fundamentals, experience with ML infrastructure, and hands-on work with agentic systems.

Forward Deployed Engineer for Cohere's North platform, focusing on secure, ethical deployment of GenAI solutions for Canadian public sector organizations. This role involves building and shipping features for the AI workspace platform, developing autonomous agents that interact with sensitive enterprise data, and leading end-to-end deployments in private cloud and on-premises environments. The position requires strong coding abilities, experience with RAG/agentic applications, and a customer-facing approach.

Cohere is seeking a Forward Deployed Engineer to build and ship features for their AI workspace platform, North. This role involves developing autonomous agents that interact with sensitive enterprise data and leading the end-to-end deployment of the platform in private cloud and on-premises environments. The position requires strong Python development experience, comfort working across the stack, and the ability to execute in fast-paced, customer-facing environments.

Cohere is seeking an Engineering Manager for their North platform, an AI workspace designed for enterprises. The role involves leading a team of engineers to design, build, and maintain scalable features for the platform, which integrates AI agents with workplace tools and applications. The manager will have end-to-end ownership of features and contribute across the full stack.

Senior Software Engineer focused on security for Cohere's AI workspace platform (North), developing autonomous agents that interact with sensitive enterprise data and ensuring the security of the platform.

Staff Software Engineer focused on building and scaling ML-optimized HPC infrastructure, including Kubernetes-based GPU/TPU superclusters, optimizing for AI/ML training cost efficiency, reliability, and performance, and enabling researchers with self-service tools.

Software Engineer role focused on applying Cohere's AI/ML stack to solve problems for UK public sector customers, involving LLM application development, RAG, and NLP within secure government environments. Requires SC/DV clearance and public sector expertise.

Cohere is seeking a Site Reliability Engineer to join their Model Serving team. This role focuses on building, deploying, and operating the AI platform that delivers Cohere's large language models through API endpoints. The engineer will work on high-performance, scalable, and reliable machine learning systems, ensuring low latency, high throughput, and high availability for NLP model deployments. Responsibilities include automating service management, environment observability, and resilience, while collaborating with internal developers and influencing the infrastructure roadmap.

Cohere is seeking a Staff Software Engineer to join their Model Serving team. This role focuses on developing, deploying, and operating the AI platform that delivers Cohere's large language models via API endpoints. The engineer will optimize NLP models for low latency, high throughput, and high availability, working with distributed systems, Kubernetes, and GPU workloads. Experience with cloud platforms and high-performance languages is required.

Cohere is seeking a Member of Technical Staff, Data Analysis and Evaluation, to ensure the quality, reliability, and performance of their LLMs. The role involves designing data collection tasks, evaluating dataset quality, analyzing model robustness and generalizability, and collaborating with cross-functional teams. Responsibilities include overseeing data collection, developing statistical methods for dataset evaluation, analyzing ML system generalizability, improving dataset quality and model performance, training LLMs, and conducting experiments.

Cohere is seeking a Machine Learning Engineer specializing in synthetic data to develop and manage the synthetic data pipeline for their advanced language models. This role involves end-to-end management of synthetic data, including pipeline optimization, data analysis and generation, and model evaluation. The engineer will work with diverse web and code data, transforming it using generative models to improve token efficiency and model quality, bridging research and engineering to enhance training metrics like throughput and accelerator utilization.