Member of Engineering (Pre-training / Synthetic Data)

Poolside is a remote-first team that focuses on building a world where AI will be the engine behind economically valuable work and scientific progress. As a Member of Engineering, you will work on improving the quality of pre-training datasets and generating synthetic data at scale.

Requirements

• Strong machine learning and engineering background
• Experience with Large Language Models (LLM)
• Experience with implementing cost-efficient, complex pipelines to generate synthetic datasets at scale
• Excellent programming skills in Python
• Strong prompt engineering skills

Benefits

• Fully remote work & flexible hours
• 37 days/year of vacation & holidays
• Health insurance allowance for you and dependents
• Company-provided equipment
• Wellbeing, always-be-learning and home office allowances
• Frequent team get togethers
• Great diverse & inclusive people-first culture