Job Description

Job Title: Senior Machine Learning Engineer

Salary: $240,000 - $300,000

Location: San Francisco, CA (Hybrid 2 days onsite)

A well-funded SaaS startup in the AI infrastructure space is hiring a Machine Learning Engineer to optimize and scale their GPU systems for advanced model training and inference. This company builds high-performance SaaS AI tools used by millions of users and integrated into major consumer platforms. In this role, you’ll manage interconnected GPU clusters—such as H100s across 300+ nodes—while improving performance through MFU optimization, memory tuning, and distributed training strategies. You’ll be hands-on with both large-scale training and smaller clusters used for inference, requiring deep hardware-level expertise. The ideal candidate has a strong HPC background, understands memory hierarchies, caches, and interconnects, and thrives in a fast-moving startup environment.

Requirements:

• Experience managing and scaling large GPU clusters
• Strong foundation in high-performance computing and ML infrastructure
• Understanding of GPU internals including memory, cache, processors, and interconnects
• Familiarity with MFU optimization techniques and efficient GPU utilization
• Hands-on experience with distributed training systems and frameworks
• Ability to work cross-functionally with infrastructure, research, and product teams
• Passion for building foundational AI systems in a high-growth startup

Benefits:

• Medical, Dental, and Vision Insurance
• 401k
• Paid Time Off
• Equity
• Startup work culture
• Free Lunches
• Remote or Hybrid flexibility for SF locals

If you are interested in learning more about this position or any other roles we may have open, please apply today!

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