Machine Learning Infrastructure Engineer

san francisco, ca, United-States • Posted June 14, 2026

Job Type: Full-time
Location: san francisco, ca
Posted: June 14, 2026
Category: Other-General
Application Deadline: July 24, 2026

Role Description

Build the infrastructure to serve personal AI models privately and at scale.

We're building the first truly private, personal AI – one that learns your skills, judgment, and preferences without big tech ever seeing your data.

Our core ML systems challenge: how do we serve the world’s best personal model, at low cost and high speed, with bulletproof privacy?

What you'll do

• Build the infrastructure that lets us create & deploy thousands and eventually millions of personalized finetuned models for our customers

• Monitor & optimize in-the-wild model serving performance to hit low latency & cost

• Interface with the TEE-based privacy stack that lets us guarantee user data & models can only be seen & used by the user—not even us—and integrate the privacy architecture with the finetuning & inference code

You have

A deep understanding of the machine learning stack...

Interested in this role?

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