Cohere

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.

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 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 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 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.

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 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 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.

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.

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 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.

Software Engineer on the internal infrastructure team responsible for building and operating Kubernetes GPU superclusters across multiple clouds to support AI workloads for training foundational models. This role involves partnering with cloud providers, designing scalable systems, and ensuring stability and efficiency for research teams.

Member of Technical Staff on the Applied ML team at Cohere, focusing on designing and implementing solutions using LLMs for enterprise customers. This role involves working directly with customers to understand their problems and applying ML expertise to close the gap in Enterprise AI adoption, delivering products like early startup CTOs/CEOs.

This role focuses on the end-to-end deployment of Cohere's North AI workspace platform in enterprise private cloud and on-premises environments. The Forward Deployed Engineer will partner with client IT teams to assess infrastructure and security, design deployment strategies, and troubleshoot technical issues, ensuring compliance with data privacy and security standards. The role is customer-facing and operates at the cutting edge of Agentic AI.