Together AI

Together AI

Platform Engineer, Model Shaping

San Francisco · Full-time

Sponsorship not specified$200k-$290kDetected 29 days ago
PythonGoBackend DevelopmentAlgorithmsGitAWSGCPAzureCloud PlatformsKubernetesTerraformAnsibleCI/CDGitHub ActionsLinuxPrometheusGrafanaPlatform EngineeringMachine LearningData EngineeringNLPAI OrchestrationIncident ResponseTCP/IP

About the role

  • The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications.
  • You will operate in a cross-functional environment, collaborating with other engineers and researchers in the team to improve the infrastructure based on the needs of projects they work on.
  • You will also interact with other engineering teams at Together (such as Commerce, Data Engineering, and Cloud Infrastructure) to integrate the services developed by Model Shaping with systems developed by those teams.

Responsibilities

  • Design and build Together's systems and infrastructure for model customization, including user-facing features and internal improvements
  • Create and improve internal tooling for deployment, continuous integration, and observability
  • Build a job orchestration platform spanning multiple datacenters, supporting a highly heterogeneous hardware landscape
  • Partner with teams developing internal services, co-designing these services and incorporating them in systems built within Together
  • Strong communication skills, be willing to document systems and processes and collaborate with peers of varying technical expertise

Requirements

  • 3+ years of experience in building infrastructure or backend components of production services
  • Extensive experience designing, operating, and troubleshooting production Linux environments and Kubernetes-based platforms

Nice to have

  • Pipeline orchestration frameworks (e.g., Kubeflow, Argo Workflows, Flyte)
  • Managing GPU workloads on HPC clusters, ideally with hands-on experience in operating NVIDIA's networking stack (e.g., NCCL, Mellanox firmware, GPUDirect RDMA)
  • Deployment of services for AI training or inference
  • Networking fundamentals, including TCP/IP, DNS, routing, load balancing, TLS, and network debugging tools
  • Maintaining or contributing to open-source projects

Compensation

  • We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work.
  • The US base salary range for this full-time position is $200,000 - $290,000.
  • Our salary ranges are determined by location, level and role.
  • Individual compensation will be determined by experience, skills, and job-related knowledge.

Company info

  • Experience in any of the following will make you stand out:

Equal opportunity

  • Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Visa & Work Authorization

  • t opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more
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This listing is sourced directly from Together AI's careers page and normalized into a canonical job model.