Backed by AI Grant.
About the role
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
What they're looking for
- 5+ years of engineering experience running production infrastructure at a large scale
- Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters
- Experience with Kubernetes dev and production coding and support
- Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving
- Experience in designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments
- Experience in compute/storage/network resource and cost management
More about this role
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating...
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