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Reliability engineer [h1.location_city]

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Reliability engineer • berkeley ca

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Okta : IAM / IGA, OAuth / SAML / OIDC, MFA / FIDO and Zero Trust principles.Azure : Entra ID, AKS, ARM templates, Azure Monitor, Policy GCP : GAM, Cloud Operations Suite, Deployment Manager[show_more][last_updated.last_updated_variable_days]
Machine Learning, Platform Engineer

Machine Learning, Platform Engineer

Together AISan Francisco, CA, United States
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[job_card.job_description]

Machine Learning, Platform Engineer

This role focuses on enabling custom models and dedicated inference on Together. We are responsible for optimizing autoscaling, minimizing cold starts, achieving the best end-to-end model performance, and providing a best-in-class developer experience with great tooling.

Required Qualifications

  • 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 is a very big plus
  • 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

Key Responsibilities

  • New hires may work on multi-cluster orchestration, portfolio optimization, predictive autoscaling, control panes, model bring-up, light model optimization, APIs for managing deployments, inference worker SDKs, and CLI tools.
  • Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure
  • Partner with product teams to understand functional requirements and deliver solutions that meet business needs
  • Write clear, well-tested, and maintainable software and IaC for both new and existing systems
  • Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance

    • About Together AI

    Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

    Compensation

    We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is : $160,000 - $250,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

    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.

    Please see our privacy policy at https : / / www.together.ai / privacy