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Senior AI Researcher - Pre-training Data (m/f/d)

Heidelberg💼 Full-time🗓 2026-04-21 → 2026-07-31

Core

Designing scientific methodology and building systems for foundation model pre-training data, focusing on data quality estimation, synthetic data generation, and curriculum learning.

Role type

Senior AI Researcher (Data-Centric AI)

Builds

Scalable data pipelines and novel algorithms for data curation and quality scoring

Domain

Large-scale language modeling, data-centric AI, foundation models

Deliverable

production ML models

Required skills

Machine learning theory, experiment design, statistical methods, information-theoretic reasoning, Python, PyTorch

Preferred skills

PhD in ML/NLP, publications in top-tier venues, experience training foundation models from scratch

Technologies

PyTorch

Responsibilities

Design targeted ablations across various scales, develop novel algorithms for estimating data quality, research synthetic data generation and curriculum learning, partner with engineers to scale research pipelines

Seniority

Senior, hands-on IC

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