CohereLondon, United KingdomOptimizes training performance for advanced language models by developing scalable software, GPU kernels, distributed training systems, and profiling tools. The role requires strong software engineering skills, Python and ML framework proficiency, and experience with CUDA or Triton.
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.