Machine Learning, Platform Engineer

This role focuses on enabling custom models and dedicated inference on Together, optimizing autoscaling, minimizing cold starts, and providing a best-in-class developer experience. The role requires experience in building large scale, fault tolerant, distributed systems and API microservices, as well as expertise in low level operating systems concepts, programming languages, and Infrastructure as Code.

Requirements

• 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices
• Experience running serverless inference platforms, doing model bring-up on short notice, being on call, or general cloud provider
• Good taste and ability to thoughtfully discuss how what you’ve built has failed over time
• Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources
• Excellent understanding of low level operating systems concepts including concurrency, networking and storage, performance and scale
• Expert-level programmer in one or more of Golang, Rust, Python, C++, or Haskell
• Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform
• Experience with Kubernetes or other container orchestration systems
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
• Writing-heavy roles or companies are a plus

Benefits

• Equal Opportunity Employer