Cohere

Senior Solutions Architect at Cohere, focusing on pre-sales and post-sales technical engagements for enterprise AI solutions. The role involves building customer demos and proof-of-concepts, translating business needs into technical solutions using Cohere's foundation models, fine-tuning, custom agents, and agent orchestration. Responsibilities include supporting deployment, leading technical discussions, and providing customer feedback to the product team.

Product Manager for Safety Research at Cohere, focusing on bridging AI safety research with the North agentic AI platform. The role involves translating research findings into product-level safety features, defining the safety product roadmap, partnering with modeling teams on evaluations, and coordinating the development of guardrails and intervention mechanisms. Requires technical depth to engage with researchers and product instincts for translating insights into actionable product strategies.

Cohere is seeking a Senior/Staff Member of Technical Staff, Applied ML to work directly with enterprise customers on problems that push LLMs to their limits. This role involves designing custom LLM solutions, delivering production-ready models, and training/customizing frontier models using Cohere's full stack. The position also influences Cohere's foundation models and requires operating with early-startup level ownership. Responsibilities include technical leadership, solution design, modeling, customization, customer-facing impact, and team mentorship.

This role focuses on applying and customizing Cohere's frontier LLMs for enterprise customers, involving post-training, retrieval, and agent integrations. The individual will design and deliver production-ready models, influence the development of foundation models, and operate with significant ownership, combining application, research, and customer-facing engineering.

Cohere is seeking an Applied AI Engineer to build production-grade AI agents for enterprise customers. This role involves designing, building, and deploying agentic workflows powered by LLMs, integrating them with tools, APIs, and data sources. The engineer will focus on reliability, observability, safety, and audibility, working closely with customers and shaping how agentic systems are built and deployed.

Cohere is seeking a Staff Research Engineer focused on Model Efficiency to push the limits of LLM inference efficiency. This role involves exploring and shipping breakthroughs in model architecture, routing optimization, decoding algorithms, software/hardware co-design for GPU acceleration, and performance optimization without compromising model quality. The goal is to improve how fast and efficiently their foundation models run in production.

Cohere is seeking an engineer to improve LLM inference efficiency by optimizing model execution, reducing latency and increasing throughput. This role involves deep dives into model execution, identifying bottlenecks, and developing optimizations across the inference stack, including GPU/CUDA and kernel-level improvements.

Cohere is seeking an experienced ML researcher/engineer to push the frontiers of agentic LLM systems. This role involves exploring and developing agentic techniques, building models for agentic solutions, and working on strategies for training models for advanced agent capabilities like reasoning, tool use, and memory. The role also includes developing data-generation techniques for post-training (SFT and RL*), with direct impacts on Cohere's products.

Cohere is seeking a Member of Technical Staff for their Search team to develop and improve state-of-the-art models for information retrieval, focusing on training embedding and reranker models. The role involves gathering and optimizing retrieval datasets, collaborating with serving and product teams, and engaging in research collaborations with a focus on publishing work.

Cohere is seeking a Senior Member of Technical Staff to focus on Multimodal AI. This role involves designing and developing cutting-edge multimodal AI systems integrating text, speech, and vision. The candidate will conduct research and experiments on advanced compute infrastructure, exploring novel ideas in multimodal representation learning and transfer learning. The role requires strong software engineering skills, proficiency in Python and deep learning frameworks (JAX, PyTorch, TensorFlow), and knowledge of distributed training strategies for large-scale multimodal models. Experience with autoregressive models for tasks like image/video captioning and speech-to-text is beneficial. The ideal candidate enjoys tuning and optimizing large multimodal models and building evaluations to measure their performance.

Lead Member of Technical Staff, Inference Infrastructure at Cohere. Responsible for the design, deployment, and operation of the AI platform delivering large language models through API endpoints. Focuses on optimizing NLP models for low latency, high throughput, and high availability, with a strong emphasis on Kubernetes, GPU workloads, and multi-cloud environments. Requires extensive experience in production infrastructure, distributed systems, and technical leadership, including mentoring engineers and guiding strategic infrastructure decisions.

Cohere is seeking a Data Engineer to work on foundational infrastructure for AI systems, including storage, product launches, and customer experiences. The role involves collaborating with researchers and engineers, running implementations end-to-end, and partnering across departments to define growth strategies. The ideal candidate has 5+ years of experience in production-grade data processing systems, strong Python and SQL skills, and experience with distributed data processing frameworks.

Solutions Architect for Cohere's Public Sector business, focusing on technical pre-sales and post-sales. This role involves understanding customer problems, mapping them to Cohere solutions, building PoCs, and acting as a trusted technical advisor. Requires a Security Clearance and experience architecting/deploying NLP/AI/LLM solutions.

Cohere is seeking a Staff Software Engineer to join their Model Serving team. This role focuses on developing, deploying, and operating the AI platform that delivers Cohere's large language models via API endpoints. The engineer will optimize NLP models for low latency, high throughput, and high availability, working with distributed systems, Kubernetes, and GPU workloads. Experience with cloud platforms and high-performance languages is required.

Cohere is seeking an Audio Inference Engineer to optimize audio inference serving efficiency, focusing on latency, throughput, and quality for real-time and streaming audio workloads. The role involves deep system analysis, bottleneck identification, and developing creative solutions for audio processing and inference.