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Build and own tooling and data pipelines for synthesis, annotation, validation, and analysis of real and synthetic data to support model training and evaluation. Collaborate with researchers and engineers to align data infrastructure with experiments, maintain documented standards, and develop frameworks to identify coverage gaps and improve data quality.

As a Software Engineering Intern, you will contribute to building features for user-facing products, APIs, and scalable services for machine learning. Responsibilities include crafting code, designing data pipelines, implementing tools, and enhancing technical documentation.

Lead and mentor a team of Forward Deployed Engineers to build and deploy agentic solutions with Cohere's North platform in on‑premises enterprise environments. Own technical implementation through delivery, collaborate with Product/Engineering/Sales, drive customer relationships, and scale agent development and deployment processes.

Build and maintain integrations for North's agentic platform, own the end-to-end integration pipeline, create evals and tests to ensure reliability, tune tool descriptions, and help other engineers add and maintain integrations while using AI responsibly to improve performance and quality.

Lead North's integrations strategy and execution: prioritize, ship, and drive adoption of connectors and ecosystem tooling. Partner with customers and engineering to convert integrations into reusable platform capabilities (auth, connector framework, data sync, permissions). Define developer/partner experience (APIs, SDKs, plugins) and instrument analytics to measure adoption, time-to-stand-up, and retention.

The Staff Software Engineer will develop and deploy high-performance machine learning systems, optimizing large language models for production environments. Responsibilities include ensuring high availability and low latency for AI applications and working collaboratively across teams.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

The Site Reliability Engineer will develop, deploy, and operate AI infrastructure, focusing on high-performance and scalable machine learning systems using Kubernetes and cloud platforms.

As a Forward Deployed Engineer, you will build and ship features for an AI workspace platform, develop autonomous agents, and manage end-to-end deployments, collaborating closely with clients in various sectors.

Lead and mentor a team of Forward Deployed Engineers to deploy Cohere's North platform into private cloud and on-premises environments. Own technical delivery and customer success, collaborate with Product/Engineering/Sales, optimize K8s services (OpenSearch, databases), define GPU/CPU scaling, and build scalable processes and tooling.