
11 - 50 employees
đ€ Artificial Intelligence
đą Enterprise
âïž SaaS
Artificial Intelligence âą Enterprise âą SaaS
Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.
đ April 28
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11 - 50 employees
đ€ Artificial Intelligence
đą Enterprise
âïž SaaS
Artificial Intelligence âą Enterprise âą SaaS
Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.
âą Join the Model Serving team at Cohere and provide technical leadership across multiple teams âą Drive the architecture and strategy for deploying optimized NLP models to production in low latency, high throughput, and high availability environments âą Serve as a key point of contact for customers, leading the design of customized deployments to meet their specific needs âą Mentor engineers to raise the technical bar across the team
âą 8+ years of engineering experience running production infrastructure at a large scale, with a track record of technical leadership âą Demonstrated experience leading the architecture and design of large, highly available distributed systems with Kubernetes and GPU workloads on those clusters âą Deep expertise with Kubernetes dev and production coding and support, including setting team-wide standards and best practices âą Extensive experience across GCP, Azure, AWS, OCI, and multi-cloud on-prem / hybrid serving environments, with the ability to guide strategic infrastructure decisions âą Proven ability to lead the design, deployment, support, and troubleshooting of complex Linux-based computing environments at scale âą Experience owning compute/storage/network resource and cost management at an organisational level, including optimisation strategies âą Exceptional collaboration and communication skills, with experience mentoring engineers and leading cross-functional initiatives to build mission-critical systems âą The grit and adaptability to both solve and guide others through complex technical challenges that evolve day to day âą 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 âą Deep knowledge of distributed systems, with experience establishing patterns and practices across engineering teams âą 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
âą An open and inclusive culture and work environment âą Work closely with a team on the cutting edge of AI research âą Weekly lunch stipend, in-office lunches & snacks âą Full health and dental benefits, including a separate budget to take care of your mental health âą 100% Parental Leave top-up for up to 6 months âą Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement âą Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend âą 6 weeks of vacation (30 working days!)
Apply Nowđ April 28
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