ML Engineer — Post-Training & Taste Evaluation

Tastelabs; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Tastelabs in San Francisco is looking for a talented Machine Learning Engineer to spearhead full-stack ML experiments. You'll train models and publish insightful results while collaborating on cutting-edge projects.

The ideal candidate is passionate about taste and design, has experience in post-training ML, and thrives in a fast-paced startup environment. Join us in building a world with less AI slop!

Qualifications

• Obsessed with taste and desire a world with less AI slop.
• Experience in post-training and evaluations in subjective domains.
• Ability to think like a researcher and move like an engineer.

Responsibilities

• Train reward models, classifiers, judges, and verifiers.
• Develop frontier evaluations and benchmarks.
• Run post-training experiments on open-source models.
• Set up infrastructure for evaluations.
• Collaborate on design pilots and experiments around taste.
• Own the end-to-end pipeline.
• Publish blogs and whitepapers.

Skills

Experience in post-training and evals/judges

LLM experience

Creative problem-solving

Collaboration with AI labs

Publishing blogs and whitepapers

Job description

Tastelabs in San Francisco is looking for a talented Machine Learning Engineer to spearhead full-stack ML experiments. You'll train models and publish insightful results while collaborating on cutting-edge projects.

The ideal candidate is passionate about taste and design, has experience in post-training ML, and thrives in a fast-paced startup environment. Join us in building a world with less AI slop!