Workshop Labs
Machine Learning Infrastructure Engineer
San Francisco · Senior
Sponsorship not specifiedDetected 309 days ago
Machine LearningNLPResearch
About the role
- Our core ML systems challenge: how do we serve the world's best personal model, at low cost and high speed, with bulletproof privacy?
- You can dive into the details of how transformers work & performance optimization techniques for them.
Responsibilities
- Monitor & optimize in-the-wild model serving performance to hit low latency & cost
- We're building the AI economy for humans.
Requirements
- You have a mental model of GPUs sufficient to reason about performance from first principles.
- Experience with privacy-first infrastructure.
- You're familiar with confidential computing & ability to reason about both technical and real-world confidentiality and security.
Compensation
- Generous compensation and early stage equity.
Benefits
- Generous compensation and early stage equity.
- Our vision is for everyone to have a personal AI aligned to their goals and values, helping them stay durably relevant in a post-AGI economy.
- As a public benefit corporation, we have a fiduciary duty to ensure that as AI becomes more powerful, humans become more empowered, not disempowered or replaced.
- A deep understanding of the machine learning stack.
Company info
- Build the infrastructure that lets us create & deploy thousands and eventually millions of personalized finetuned models for our customers
- Ready to roll up your sleeves. We're an early stage startup, so we're looking for someone who can wear many hats.
- Our mission is to keep people in the economy well after AGI.
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