# Applied ML Engineer

**Company:** [Taste Labs](https://hotfix.jobs/companies/taste-labs)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $200k – $350k/yr
**Skills:** Machine Learning, post-training, LLMs, reward models, classifiers, evaluation design, judges, verifiers, Model Training, open-source models, Data Pipelines, evaluation pipelines, machine learning infrastructure, benchmarks, Reinforcement Learning
**Posted:** 2026-06-16

> Build and evaluate post-trained machine learning models for subjective domains such as design and writing. The role owns experiments, reward models, judges, infrastructure, data and evaluation pipelines, and research publications while collaborating with AI labs.

## Job Description

## Responsibilities
- Own full-stack machine learning experiments, training runs, infrastructure, data pipelines, and evaluation pipelines.
- Develop internal research, evaluation design, judges, and reward models for subjective domains such as design, writing, and visual style.
- Train reward models, classifiers, judges, and verifiers.
- 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.
- Set up infrastructure to run experiments.
- Collaborate with AI labs and creative experts on pilots and experiments around taste.
- Own the end-to-end pipeline.
- Publish blogs and whitepapers.

## Requirements
- Experience with post-training and evaluations or judges.
- Experience with large language models; purely classical machine learning experience is not sufficient.
- Research-oriented mindset with strong engineering execution.
- Creativity, scrappiness, and comfort working in ambiguity.

## Nice-to-Haves
- Startup experience.
- Strong interest in creativity, design, and taste.

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**Apply:** https://hotfix.jobs/jobs/bc4166af-6cb7-45ee-b7ab-cc911615405e
**Canonical:** https://hotfix.jobs/jobs/bc4166af-6cb7-45ee-b7ab-cc911615405e