Workshop Labs

Machine Learning Research Engineer

San Francisco · Senior

Sponsorship not specifiedDetected 309 days ago

Machine LearningData EngineeringNLPResearch

About the role

Our core ML challenge: how do we train the world's best personal models?
Invent new data collection pipelines (working with the product team), test their effects on model quality, and make recommendations on what sort of data matters most to collect. • Think carefully about how to evaluate quality.
We're not trying to push up numbers on a public benchmark, we're trying to make models qualitatively good at understanding a particular user's taste & judgement.

Train models to think, act, and value like a specific user. Implement & test parameter-efficient fine-tuning techniques to make models pick up people's reasoning & judgement & style.
Create synthetic data pipelines to let models squeeze everything out of small datasets.
And we're not just finetuning one model, but building a system that can finetune a quality private model for anyone.
Reduce misuse and catastrophic risk while maintaining bulletproof privacy. Develop guardrails to prevent models from gaining capabilities that are illegal or pose society-wide dangers.
We're building the AI economy for humans.

You can dive into the details of how transformers work, the tradeoffs and considerations in using parameter-efficient finetuning techniques, and you have good intuitions for how datasets affect model behaviour.

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.
Published machine learning research outputs, as peer-reviewed papers or in-depth technical blog posts.
Academic experience in machine learning research.

Ready to roll up your sleeves. We're an early stage startup, so we're looking for someone who can wear many hats. You'll put ML theory into practice.
Our mission is to keep people in the economy well after AGI.

This listing is sourced directly from Workshop Labs's careers page and normalized into a canonical job model.