Jobs at Cohere AI

Build and ship native iOS and Android features for Cohere’s secure AI workspace platform. Collaborate with designers and researchers to implement interfaces, productionize AI models, research technologies, and develop privacy- and security-focused tooling, including custom solutions when standard libraries are unsuitable. The role requires experience with Kotlin and Swift, production mobile applications, project bootstrapping, cross-codebase debugging, and execution in fast-changing environments. Audio feature experience is a bonus.

Evaluate and rank multimodal model outputs, stress-test and document failures, author and edit dataset prompts/responses, build and apply rubrics, perform high-quality annotations across text, image, and structured formats, participate in calibration checks, adapt to evolving tasks, and report model performance trends to cross-functional teams.

Evaluate and label model-generated and human-written code outputs, debug and assess code/agent trajectories, prompt models for complex data science tasks, review visualizations, and report quality trends to improve model behavior.

Evaluate and label model-generated and human-written software engineering outputs for coding, debugging, and codebase-related tasks. Assess agent trajectories, prompt models for complex coding tasks, proofread and improve responses, and report quality and performance trends. Part-time contractor role contributing to model development.

Lead Cohere's policy engagement on compute infrastructure, export controls, sovereign AI, and national AI competitiveness. Monitor and analyze relevant developments, develop policy positions, engage governments and cross-functional teams, represent Cohere in public discussions, and produce policy analysis and thought leadership to inform strategic business opportunities and public-private partnerships.

Lead the deployment of AI solutions for public sector clients, ensuring compliance with security standards while integrating AI into enterprise workflows.

Lead Cohere’s corporate development strategy across M&A, strategic partnerships, market expansion, and government relationships. Evaluate acquisitions and investments, lead due diligence and post-merger integration, develop market-entry and partnership frameworks, negotiate complex alliances, and create joint go-to-market strategies. The role partners closely with product, engineering, legal, finance, sales, marketing, policy, and government relations teams to support sovereign AI deployments, regulatory compliance, revenue growth, and international expansion.

The role involves managing Cohere's platform for developers and enterprises, overseeing APIs, SDKs, and tooling for improved integration and user experience.

Manage the full contract lifecycle and contract operations: triage requests, draft and maintain standard agreements and templates, manage document systems and approvals, monitor compliance and key dates, analyze contract data, and collaborate with Sales, Product, and Finance to streamline contract workflows and reporting.

Build and ship features for Cohere’s North AI workspace platform, develop autonomous agents that interact with sensitive enterprise data, and deploy highly performant, secure applications in low-resource environments. Collaborate with researchers to productionize advanced AI models and techniques while contributing across the full stack using Python and React.

Drive analytics and measurement for AI product adoption and impact. Build agentic analytics, small language models, predictive models, and customer-facing insights. Design and run experiments (A/B tests, causal inference), ship production models, and translate ambiguous business questions into actionable recommendations used by product, sales, and leadership.

Lead and mentor a GPU infrastructure engineering team to design, deploy, and scale GPU/TPU clusters. Define technical roadmap, implement topology-aware scheduling, monitoring, IaC, and cost/capacity optimization. Collaborate with AI researchers, cloud providers, and cross-functional teams to ensure reliable, secure, and performant infrastructure.

Build and maintain production-grade data processing systems and foundational infrastructure for enterprise AI. Collaborate with researchers and engineers, deliver end-to-end implementations, transform unstructured data into performant datasets, and use distributed processing frameworks and modern analytics tooling to inform products and strategy.

Lead end-to-end technical programs for ML infrastructure (inference, serving, efficiency, endpoints). Coordinate cross-functional teams, prioritize overlapping projects, manage timelines, budgets and scope, drive incident management and continuous improvement, and communicate status to engineering and leadership.

The Research Intern will conduct machine learning research, focusing on large language models, and disseminate results through publications and code while collaborating with Cohere researchers.

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.

The engineer will develop features for an AI workspace platform, deploy AI solutions in public sector environments, and interact with clients.

Build, ship, and maintain full-stack features for North: large-scale file uploads, shared knowledge bases, agent extensibility, and data-sync pipelines. Own end-to-end design, implementation, testing, launch, and iteration while working closely with Product, UX, and modeling teams. Prioritize security, performance, and mentoring.

Lead NetSuite ERP architecture, configuration, integrations, and roadmap. Improve Order-to-Cash and Procure-to-Pay processes, implement automation (including AI/LLM agents), enforce data governance and SOX-ready controls, partner with cross-functional teams, manage upgrades and third-party integrations, and provide documentation, training, and user support to ensure financial system stability and accuracy.

Build and ship full‑stack features for North, an enterprise AI workspace. Develop secure autonomous agents, execution engines, integrations, observability and evaluation systems. Collaborate with researchers to productionize models and deliver performant, low‑resource deployment code while adhering to strict security and privacy constraints.