About the role
As a Applied AI/ML Engineer, you’ll drive research that teaches models what great feels like across domains such as model personality, UI design, multi-modal generation, and writing tone.
You’ll own full-stack research: experiments, training runs, data and eval pipelines, and publishing results. You’ll develop Taste’s internal research and proprietary models while collaborating directly with AI labs on frontier projects.
What You'll Do
- Train reward models, classifiers, and verifiers for subjective domains (e.g. design, writing, visual style).
- Develop frontier evaluations and benchmarks for subjective domains.
- Run post-training experiments on open-source models to test new data formats and post-training techniques.
- Collaborate with AI labs and creative experts to design pilots and experiments around taste.
- Own the end to end pipeline.
- Publish blogs and whitepapers.
You Might Be a Good Fit If You
- Are obsessed with taste and want a world with less AI slop.
- ML research or Applied ML experience, especially post-training/fine-tuning (SFT, RLHF, DPO)
- LLM and/or diffusion model experience required — cannot be purely classical ML
- Thinks like a researcher, moves like an engineer. Creative, scrappy, comfortable in ambiguity
- Startup experience strongly preferred; deep passion for creativity and design