Workshop Labs · 3 months ago
Machine Learning Infrastructure Engineer
San Francisco
Full-time
Onsite
Mid, Senior LevelWorkshop Labs is building the first truly private, personal AI that learns individual skills and preferences without big tech access to user data. The Machine Learning Infrastructure Engineer will be responsible for building the infrastructure for creating and deploying personalized AI models while ensuring low latency and cost, all while maintaining user privacy.
Computer Software
Responsibilities
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
Qualification
Required
A deep understanding of the machine learning stack
Ability to execute quickly
A missionary mentality
Ready to roll up your sleeves
Preferred
Work at a fast-paced AI startup, or top AI lab
Experience deploying ML systems at scale
Experience with privacy-first infrastructure
Benefits
Generous compensation and early stage equity.
Company
Workshop Labs
We're building the technology to train billions of models, one for each person. Each model works like you, with you, for you.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase