Preference Model is building the next generation of training data to power the future of AI. Backed by a16z and South Park Commons.
About the role
We’re hiring experienced Machine Learning Engineers to design and build reinforcement learning environments to safely advance model capabilities in machine learning research and engineering. Specifically, you'll be teaching frontier models to do the work of an ML engineer or researcher at a frontier lab. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years of experience working in machine learning or research, primarily on LLMs and transformer models
- You have strong ML fundamentals and broad research interests. You read many papers or tutorials, understand topics deeply and have the creativity to translate them into RLVR problems
- Proficiency in Python and systems programming and at least one of PyTorch or JAX
- Problem solvers who take ownership and drives solutions end-to-end
- Passion for staying current with the rapidly evolving ML infrastructure landscape
- Ability to meet throughput expectations and respond quickly to feedback
More about this role
Preference Model is a superintelligence data research company. We build RL environments for training capable, better-aligned superintelligences.
Almost every aspect of how a model behaves is shaped by the reward signals it's trained on. The biggest problem with AIs today is that they don't always do what we intend. Sometimes that's because they aren't capable enough, and sometimes it's because they aren't aligned. Both problems come down to the training objectives.
We're trying to address both of these issues in the most direct, highest leverage way available to us, which today means researching how to build RL environments better, not just for the AIs of today but for the AIs as they will be when they outsmart us.
Over the past year, we've built RL environments for several frontier labs, and we're backed by $16M in seed funding led by a16z. Our founding team has previous experience on Anthropic’s data team building data infrastructure, and datasets behind Claude.
We’re hiring experienced Machine Learning Engineers to design and build reinforcement learning environments to safely advance model capabilities in machine learning research and engineering. Specifically, you'll be...
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