ML Engineer — Post-Training & Taste Evaluation

Taste Labs; San Francisco (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Taste Labs is seeking a full-stack ML engineer to lead data and evaluation processes in the creative AI field. You will own projects that focus on developing models and conducting experiments to enhance taste-based AI outputs.

The ideal candidate is creative and has experience in post-training evaluations. Your role involves training models, collaborating with AI labs, and publishing findings. If you are passionate about taste and cutting-edge AI, this is the opportunity for you!

Qualifications

• Experience in training reward models, classifiers, judges, and verifiers.
• Ability to develop evaluations and benchmarks for subjective domains.
• Familiarity with open-source models and post-training techniques.

Responsibilities

• Own full-stack ML experiments and training runs.
• Develop internal research and evaluation design.
• Set up infrastructure for experiments.

Skills

Post-training experience

LLM experience

Collaboration with AI labs

Creative thinking

Ambiguity management

Job description

Taste Labs is seeking a full-stack ML engineer to lead data and evaluation processes in the creative AI field. You will own projects that focus on developing models and conducting experiments to enhance taste-based AI outputs.

The ideal candidate is creative and has experience in post-training evaluations. Your role involves training models, collaborating with AI labs, and publishing findings. If you are passionate about taste and cutting-edge AI, this is the opportunity for you!