Jobs at Cohere AI

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.

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.

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.

The Forward Deployed Engineer will build and deploy features for the North AI workspace platform and develop autonomous agents for sensitive enterprise data, collaborating across product lifecycle from concept to production.

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.

This role involves building and scaling compliance programs, translating security and regulatory requirements into scalable solutions, and collaborating across teams, specifically in AI governance and technical compliance automation.

As an Account Executive, you will manage the entire sales cycle, focusing on acquiring new enterprise clients, building relationships, and tailoring solutions. Collaborate with various teams to achieve business goals and prioritize customer needs.

The Product Manager will oversee user engagement and growth for an AI platform across native apps for iOS, Android, and macOS, focusing on onboarding and retention strategies.

The Director of People Operations will establish systems and infrastructure for managing People operations at scale, addressing operational challenges in a globally distributed environment.

Design, build, and maintain automation and testing infrastructure for the North platform: CI/CD pipelines, GitHub workflows, containerized test environments (Docker/Kubernetes), Helm and ArgoCD deployments, infrastructure-as-code, benchmarking, parallel test execution, and cross-team standards to improve test coverage, reliability, and deployment confidence.

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.

As a Data Annotation Specialist, you will break down engineering tasks for AI models, evaluate their responses, and ensure outputs are accurate through labeling and proofreading.

You will oversee the full lifecycle recruitment for technical positions, collaborating with leaders to attract top talent in tech fields.

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

Lead marketing performance analytics across paid, earned, and owned channels; track full-funnel metrics to revenue; partner on strategic planning and targets; manage ad-hoc analytics and executive/Board reviews; optimize lead scoring and attribution with rigorous validation; design interactive dashboards; support closed-loop marketing reporting and customer journey optimization via omni-channel activation and A/B testing.

Contribute to research in reinforcement learning and large language models, implementing algorithms, conducting experiments, and analyzing results for publication.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Lead customer success for AI solutions in Montreal, building relationships with stakeholders and ensuring successful AI adoption and value realization while navigating complex regulatory requirements.

Lead the deployment of North in private cloud environments, collaborating with IT teams, designing strategies, and resolving technical issues.