Jobs at Cohere AI

As an IT Operations Specialist, you will provide IT support, troubleshoot hardware and software issues, assist with onboarding, and enhance the office's AV and networking setup while ensuring smooth operations.

The Senior ML Systems Engineer will build and maintain the training framework for large-scale language models, focusing on distributed training and performance optimization.

Build and operate Kubernetes clusters, optimize infrastructure for AI workloads, and collaborate with researchers to enhance model training systems.

Cohere is looking for a Research Intern to conduct machine learning research, focusing on large language models and associated areas, while disseminating findings through publications and practical applications in product development.

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.

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

The Social Content Creator will elevate the brand's presence on social media, create engaging content, and analyze performance trends. Responsibilities include developing tailored content for different platforms, collaborating with teams, and monitoring social media analytics.

As a Senior Software Engineer, you will enhance the platform's authentication, billing, and payment systems while adding features to the user interface. You'll be responsible for writing efficient code, ensuring high security and privacy standards, and managing software deployment processes.

As a Software Engineer, you'll lead AI implementation projects for the UK public sector, designing innovative solutions and engaging directly with customers to address complex challenges.

The Internal Communications Manager will lead internal communication strategies, partner with executives, manage channels, and ensure clear messaging within the company.

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.

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.

Lead and manage a team of engineers to design, develop and maintain the North AI workspace platform, enabling seamless integration of enterprise AI solutions.

The Social Media Strategist will engage communities on Twitter and Reddit, creating and executing content strategies for AI discussions, while monitoring analytics to enhance audience engagement.

The Solutions Marketing Manager will develop marketing strategies for AI products, drive adoption, manage launches, and enable sales teams while collaborating with cross-functional teams.

Develop production-grade AI agents for enterprise customers. Design and build LLM-powered systems, integrating workflows, evaluation, and performance standards. Collaborate closely with customers and teams to ensure reliability and effectiveness in real-world applications.

As a Senior HR Business Partner, you will design and implement HR strategies, build relationships with leaders, and manage critical HR projects while navigating people challenges and supporting global operations.

Lead and manage commercial technology contracting: draft, negotiate, and review complex agreements (MSAs, SOWs, order forms), advise cross-functional stakeholders, build contracting strategy and processes, mentor legal team members, manage CLM tools and vendor relationships, and provide legal guidance on commercial risks including AI-related regulatory issues.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Lead the Deployment Engineering team, managing North platform deployments and ensuring customer success while mentoring engineers on cloud and Kubernetes technologies.