Machine Learning Operations Engineer

3 weeks ago


San Francisco, California, United States Together AI Full time

Together AI is seeking an experienced MLOps engineer to develop and deploy scalable AI/ML systems. The ideal candidate will have a strong understanding of machine learning, particularly large language models, and experience with DevOps practices like CI/CD, automation, and containerization.

Key Responsibilities
  • Design and implement runtime systems for inference at scale using AI/ML models.
  • Collaborate with engineering, research, and sales teams to deploy and evaluate inference systems.
  • Build and maintain tools, services, and documentation for automation and testing.
  • Analyze and improve efficiency, scalability, and stability of system resources.
About Together AI

We are a research-driven AI company dedicated to creating open and transparent AI systems. Our mission is to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models.

Requirements
  • 5+ years of experience working on production-level ML training or inference systems.
  • Bachelor's degree in computer science or equivalent industry experience.
  • Strong understanding of machine learning, particularly large language models.
  • Experience with DevOps practices like CI/CD, automation, and containerization.
  • Proficiency in cloud platforms like AWS, Google Cloud, or Azure.
Compensation

We offer competitive compensation, startup equity, and health insurance. The US base salary range for this full-time position is $160,000 - $240,000 + equity + benefits.



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