Protege is the trusted source for AI-ready, real world data and expertise at every stage of the AI lifecycle. Backed by a16z and CRV.
About the role
We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.
What they're looking for
- • 4+ years of engineering experience
- • Hands-on ML work evaluating models
- • Have previously owned backend and infrastructure
- • High ambiguity tolerance and bias to action
- • Comfort working with urgency to meet the pace and volume of the market demands
- • Strong written communication
More about this role
We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.
Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech.
We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI.
We're hiring a Forward Deployed Machine Learning Engineer in our Benchmarks and Evaluations vertical. You'll be the first MLE dedicated to this vertical and will work directly with the GM and our researchers to scale Protege’s position as a renowned leader in the space.
At Protege, we believe that real world data is one of the largest bottlenecks to AI progress. Our data and data expertise position us to be neutral arbiters for the...
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