Machine Learning Infrastructure Engineer at early-stage private AI platform

Build the core infrastructure to serve thousands, then millions, of private, personalized AI models at scale. This role involves optimizing model serving performance for low latency and cost, and integrating a TEE-based privacy stack to ensure user data and models are exclusively accessible by the user, not even the company. Drive the foundational systems for a new era of personal AI.

early-stage private AI platform

• Build infrastructure for deploying thousands to millions of personalized finetuned models.
• Monitor and optimize in-the-wild model serving performance for low latency and cost.
• Integrate with a TEE-based privacy stack to guarantee user data and model confidentiality.

• Deep understanding of the machine learning stack, including transformer optimization and GPU performance.
• Ability to execute quickly in a fast-paced, early-stage startup environment.
• A missionary mentality, passionate about ensuring AI works for people.

• Pioneer the infrastructure for truly private, personal AI models, ensuring user data remains confidential.
• Join an early-stage, well-funded startup backed by top-tier VCs and leading AI experts.
• Make a massive impact on the future of AI, helping to keep humans empowered in a post-AGI world.