CohereParis, FranceBuild and optimize scalable infrastructure for training large frontier AI models, bridging research and production. The role requires strong software engineering, Python and ML framework expertise, and hands-on experience with distributed training at scale.
Architects and operates production machine-learning systems that classify web and API traffic, detect bots and scrapers, and support real-time mitigation at internet edge latency. The role requires 9+ years of applied ML experience in adversarial domains and strong expertise in evaluation, data pipelines, and large-scale systems.
Build scalable software and tools for frontier model training, research experimentation, and production machine learning systems. The role requires strong Python and distributed-training expertise, experience with ML frameworks and infrastructure, and the ability to optimize and debug large language model systems.
Leads the technical direction of large-scale ML infrastructure for embedding, recommendation, and personalization systems. The role requires 8+ years of ML engineering experience, expertise in deep learning and distributed training, and strong leadership across research, infrastructure, and production deployment.
Leads the technical direction and development of large-scale, GenAI-powered recommendation and feed-ranking systems. Requires 10+ years of industry experience in relevance-driven products, deep expertise in machine learning and recommendations, and strong organizational influence and mentoring skills.
Leads end-to-end development of production algorithmic systems for healthcare, spanning machine learning, optimization, and LLM applications. The player-coach role requires 6+ years of industry experience, strong problem-solving and metrics judgment, and technical leadership of a small team.