Lead Member of Technical Staff, Inference Infrastructure

Are you energized by leading the design of high-performance, scalable and reliable machine learning systems? Do you want to set technical direction and help shape the next generation of AI platforms powering advanced NLP applications? We are looking for a Lead Member of Technical Staff to join the Model Serving team at Cohere.

The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will provide technical leadership across multiple teams, driving the architecture and strategy for deploying optimized NLP models to production in low latency, high throughput, and high availability environments.

You will serve as a key point of contact for customers, leading the design of customized deployments to meet their specific needs, and mentoring engineers to raise the technical bar across the team.

- 8+ years of engineering experience running production infrastructure at a large scale, with a track record of technical leadership

- Demonstrated experience leading the architecture and design of large, highly available distributed systems with Kubernetes and GPU workloads on those clusters

- Deep expertise with Kubernetes dev and production coding and support, including setting team-wide standards and best practices

- Extensive experience across GCP, Azure, AWS, OCI, and multi-cloud on-prem / hybrid serving environments, with the ability to guide strategic infrastructure decisions

- Proven ability to lead the design, deployment, support, and troubleshooting of complex Linux-based computing environments at scale

- Experience owning compute/storage/network resource and cost management at an organisational level, including optimisation strategies

- Exceptional collaboration and communication skills, with experience mentoring engineers and leading cross-functional initiatives to build mission-critical systems

- The grit and adaptability to both solve and guide others through complex technical challenges that evolve day to day

- Strong expertise in the computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), and how to leverage them to drive latency and throughput improvements at scale

- Deep knowledge of distributed systems, with experience establishing patterns and practices across engineering teams

- Proficiency in Golang, C++ or other languages designed for high-performance scalable servers, with the ability to set coding standards and conduct senior-level technical reviews