Cohere
AI Frontier · Enterprise LLMs
Currently tracking 69 active AI roles, down 44% versus the prior 4 weeks. Primary focus: Agent · Engineering.
AI Frontier · Enterprise LLMs
Cohere has 77 active AI-related job listings. The majority of these roles are focused on agents, representing 39% of the total. Engineering is the dominant function, with 60 positions. The company is actively hiring for roles related to model serving, agent orchestration, and fine-tuning. In the last 30 days, Cohere has posted 17 new AI roles, a significant increase compared to the previous 30-day period.
Cohere currently has 83 active AI-related roles in our index. The most common open titles are: Forward Deployed Engineer, Agentic Platform (2), Solutions Architect - Public Sector (2), Applied AI Engineer - Agentic Workflows (Singapore), Applied AI Engineer – Agentic Workflows, Applied AI Engineer – Agentic Workflows (Korea). Most positions are in Engineering and Research.
Cohere's active AI hiring is concentrated in: agents (36%), data (20%), serving infrastructure (17%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Cohere is hiring AI talent in: Canada (37 roles), United States (15 roles), United Kingdom (15 roles), France (3 roles).
Job postings at Cohere most frequently reference: model serving, agent orchestration, fine tuning, rag, inference infra.
In the past 30 days, Cohere has posted 12 new AI-related roles. That is a -33% change versus the prior 30 days (18 → 12).
| Title | Stage | AI score |
|---|---|---|
| Senior Member of Technical Staff, Web Data Cohere is seeking a Senior Member of Technical Staff to develop large-scale web data pipelines for pre-training language models. This role involves transforming raw internet data into high-quality training data, owning data pipeline components, analyzing data composition and quality, and collaborating with research and evaluation teams. | Data | 9 |
| Member of Technical Staff, Pre-Training Data 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. | Data |
| 9 |
| Member of Technical Staff, Search 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. | DataPost-train | 9 |
| Member of Technical Staff, Training Infra Engineer 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. | DataPretrain | 9 |
| Data Engineer 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. | Data | 8 |
| Member of Technical Staff, Data Analysis and Evaluation 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. | DataPost-train | 8 |
| Member of Technical Staff, Synthetic Data 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. | DataPost-train | 8 |
| Data Annotation Specialist, Data Science This role focuses on evaluating data science and coding tasks, requiring review and debugging of code, analysis of model trajectories, and assessment of data visualization script development and logical flow implementation. The work contributes to model development efforts and the logic models apply when completing task requests. The role involves prompting models for data science tasks, labeling and improving outputs, and reporting on model/agent behavior. Familiarity with code agents or evaluating agent trajectories is a plus. | DataAgent | 7 |
| Data Annotation Specialist, Software Engineering Cohere is seeking a Data Annotation Specialist with a software engineering background to evaluate coding tasks, debug code, analyze model trajectories, and label/improve machine-written outputs. This role supports model development efforts by assessing agent trajectories and code generation capabilities. The position is a part-time, remote independent contractor role within Canada. | DataAgent | 7 |
| Software Engineer, Data Infrastructure Software Engineer to build and maintain the high-performance data layer for AI training and evaluation workloads, working on petabyte-scale storage infrastructure and distributed data processing. | Data | 7 |
| Data Annotation Specialist, Engineering This role focuses on data annotation and evaluation for AI models, specifically breaking down engineering procedures into steps for the model to learn and complete. The specialist will task models, verify accuracy, and label/proofread outputs, requiring a background in engineering fields. | Data | 7 |