Member of Engineering (Synthetic Data Research)

📋 Description

• Improve dataset quality across the full training cycle (pre, mid, post, RL)
• Generate synthetic data at scale for training large models
• Collaborate with Pre-training, Post-training, RL2L, Evals, and Product teams
• Design and run high-throughput data pipelines on GPU clusters
• Stay current with state-of-the-art research on synthetic data and LLMs
• Lead time-bounded experiments and deploy engineering solutions into production

🎯 Requirements

• Strong ML/engineering background with hands-on research
• Experience with Large Language Models (LLMs) and learning dynamics
• Ability to design cost-efficient, large-scale data pipelines on GPUs
• Excellent Python skills and strong prompt engineering
• Experience with evals tracking model capabilities (reasoning, math, coding)
• Data curation and quality focus; familiarity with tokenization and deduplication

🎁 Benefits

• Fully remote work & flexible hours
• 37 days/year vacation & holidays
• Health insurance allowance for you & dependents
• 16 weeks of flexible, full-pay parental leave
• Company-provided equipment
• Well-being, learning & home office allowances