Mid-level/Full-time/EU Remote/Europe
Member of Engineering (Synthetic Data Research)
PoolsideRole Opportunity Score
Expected applicants: ~80–150
This Mid Member of Engineering role at Poolside is remote EU-wide and likely draws around 80–150 applicants, supported by a strong LinkedIn following. Experience in synthetic data generation is a key differentiator; candidates without this niche expertise may be eliminated quickly.
Evidence Dossier
Remote Details
Scope: EU Remote
Role Summary
You’ll be working on our data team focused on the quality of the datasets being delivered for training our models. This is a hands-on role where your #1 mission would be to improve the quality of our datasets across the entire training cycle (pre-training, mid-training, post-training, RL) by leveraging your previous experience, intuition and training experiments. This role particularly focuses on generating synthetic data at scale and determining the best strategies to leverage such data into training large models. You’ll closely collaborate with other teams like Pre-training, Pre-training data, Post-training, RL2L, Evals, and Product to define high-quality data needs that map to missing model capabilities and downstream use cases.
Compensation
Requirements
AI Tools Culture
AI mentionedLast seen on career page: 28d ago
Posted: 1mo ago