Qualification

You can design rigorous experimentsLarge-Scale TrainingPredictive ScalingStability & PerformanceAdvanced ArchitecturesTrack Record of ImpactSystems Curiosity

Required

You deeply understand transformer training dynamics, optimisation, and the behaviour of large distributed training jobs.
You can design rigorous experiments, reason clearly from noisy results, and translate empirical observations into robust training decisions.
Hands-on experience pre-training large models (e.g., 7B+ parameters) on substantial infrastructure (e.g., 100+ GPU clusters).
You apply strong software engineering practices, including writing maintainable, well-tested code and supporting reproducible experimentation workflows.
You are able to implement complex model architectures efficiently and reliably and to debug complex issues across model code, training dynamics, and distributed systems.
You collaborate effectively within a research and engineering team and communicate clearly about your work across Pre-training and the broader AAR/AA organization.
You are able to work in Germany and collaborate regularly on site in Heidelberg as part of the Pre-training team.

Preferred

Large-Scale Training: Hands-on experience training LLMs or multimodal models on large GPU clusters using distributed frameworks (e.g., Megatron-LM, DeepSpeed, torchtitan).
Predictive Scaling: Familiarity with scaling laws, hyperparameter transfer, or methods for predicting large-scale training behavior from smaller proxy runs.
Stability & Performance: Experience profiling distributed jobs and diagnosing training anomalies like loss spikes, numerical instability, or optimizer pathologies.
Advanced Architectures: Exposure to sparse training approaches (e.g., Mixture-of-Experts) and an understanding of their routing and systems trade-offs.
Track Record of Impact: Demonstrated research excellence through top-tier publications (NeurIPS, ICML, ICLR), impactful open-source contributions, or significant shipped technical work.
Systems Curiosity: Low-level kernel optimization is not required, but we highly value a strong curiosity about the hardware and systems constraints that shape scale.

Senior AI Researcher- Pre-training (f/m/d) at Alephalpha · LumiJobs

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

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Alephalpha

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