ML Research Engineer

Coco Labs is hiring an ML Research Engineer to develop models behind its design-generation product, starting with Vyb. The role focuses on training generation models, building data pipelines and evaluation frameworks, and preparing models for production.

Responsibilities:

• Model Training: Design, run, and iterate on training for our generation models. Make pragmatic calls on model architectures and training strategies, and know when a problem calls for more data, better data, or a different objective
• Build Synthetic & Curated Data Pipelines: Build the systems that generate, render, validate, and filter training data at scale. You will treat data quality as the primary lever on model quality
• Design Evals: Build the evaluation frameworks that turn subjective design quality into metrics we trust, combining automated checks, model-based judges, and human preference signals
• Make Models Production-Ready: Optimize inference latency and cost and minimize training / serving skew. Keep experiments reproducible, versioned, and easy to compare. Write clean, tested training and eval code that teammates can read, rerun, and debug without archaeology