Top Tech Jobs & Startup Jobs

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

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.

Own the full sales cycle for enterprise customers across Sweden, Denmark and Norway: generate pipeline via outbound prospecting, close transformational deals, build executive relationships, work with partners and cross-functional teams to deploy private/on‑prem AI solutions and meet revenue goals.

Own the full sales cycle across Spain (and adjacent Southern Europe) to acquire net-new Global 2000 customers. Generate pipeline via outbound prospecting, build executive relationships, close transformational seven-figure deals, and coordinate cross-functionally with customer success, solution architects, channel partners and marketing to deliver enterprise AI/NLP and on-premise deployments.

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 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.

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.