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FirstPrinciples
3+ YOECandidates need 3 to 7+ years of partnership, business development or ecosystem experience in technology, AI or research, and a bachelor's degree in a relevant field. Strong negotiation skills, the ability to understand AI and cloud infrastructure, and experience with cloud or developer ecosystems are strongly preferred.
Research, Collaboration, Regulatory compliance, Computer science, Sales, Relationship building
LawZero
3+ YOECandidates need a relevant computer science degree and 3+ years designing distributed ML training frameworks, including recent use of Megatron, DeepSpeed, FSDP or vLLM. Experience with cloud platforms, Ray or SLURM, GPU profiling, Docker or Kubernetes, and deep learning research is also expected.
Megatron, DeepSpeed, HuggingFace Accelerate, FSDP, vLLM, verl
Cohere: Cohere is the leading security-first enterprise AI company.
10+ YOECohere needs a product leader with 10+ years of product management, including owning a B2B infrastructure product and carrying a revenue line or P&L. Experience at a neocloud or hyperscaler, and the ability to lead across teams without formal authority, are also needed.
Procurement, Regulatory compliance, Sales, Research, Technical writing, AWS
Cohere: Cohere is the leading security-first enterprise AI company.
5+ YOECandidates need 5+ years of software engineering with proven leadership, hands-on experience deploying enterprise software, and strong cloud skills on Azure, AWS or GCP. Kubernetes, Helm, CI/CD and excellent English communication are also required.
Kubernetes, Helm, OpenSearch
Cohere: Cohere is the leading security-first enterprise AI company.
Candidates need strong storage fundamentals such as replication, consistency and caching, strong coding in Python or Go, and experience running stateful systems on Kubernetes. Hands-on work with cloud object storage like S3 and POSIX filesystems is also required.
Kubernetes, S3, Weka, VAST, Lustre
Cohere: Cohere is the leading security-first enterprise AI company.
5+ YOECandidates need 5+ years of engineering experience running large-scale production infrastructure, especially distributed systems on Kubernetes with GPU workloads. Strong Linux, cloud platform, troubleshooting and performance skills are required, and experience in Golang, C++ or a similar high-performance language is a plus.
Kubernetes, Linux, GPU, GCP, Azure, AWS
Nexxa.AI
6+ YOECandidates need 6+ years in DevOps, SRE or platform engineering, with hands-on production experience in cloud platforms, Kubernetes, infrastructure-as-code and CI/CD. Strong observability, scripting, incident leadership and project-leading skills are also required.
Kubernetes, Terraform, Pulumi, GitHub Actions, GitLab CI, CircleCI
XYZ Reality
3+ YOECandidates need 3 to 5 years of machine learning engineering experience, strong Python and PyTorch skills, and experience building production ML pipelines. Experience with Docker, Kubernetes, CI/CD and cloud deployment is also required.
PyTorch, Docker, Kubernetes, MLflow, Weights & Biases, Ray
5 companies