Senior Machine Learning Engineer | up to €180k

Train the language models that millions of people use when they shop online. This AI team does more than call APIs. It does continued pre-training on 100B+ tokens of its own data, fine-tunes models, and puts them into production on its own GPU cluster. 🏢 About the company: who will you join? - One of Europe’s largest consumer internet groups, with marketplaces and e-commerce companies that serve millions of users - An in-house AI team that trains its own domain-specific LLMs, with models already in production - Full support from senior leadership, up to the CEO. AI is the company’s top priority - A team that is growing fast, with plans to build its own foundation models and a large increase in GPU capacity 🏋 About the role: what will you do here? - Train LLMs with continued pre-training and full fine-tuning on large proprietary datasets - Build and optimise distributed training on multi-node H200 clusters (DeepSpeed, FSDP, Megatron-LM) - Own data at scale: filtering, deduplication, quality and data mixtures for corpora of 100B+ tokens - Generate synthetic data for instruction tuning, and build the evaluation frameworks that guide decisions - Lead the technical work: make architecture decisions, review code and mentor ML engineers 🔍 About you: what experience do you bring? - 7+ years in ML engineering. You have trained language models and put them into production yourself (LLMs, encoders or embedding models) - Hands-on experience with multi-node training. You know how to fix loss spikes, NCCL timeouts and slow throughput - Expert in Python and PyTorch (Transformers, Accelerate, DeepSpeed) - Experience as a technical lead. You make others better and focus on results for the business - Extra points for: DPO/GRPO/RLHF, vLLM and distillation, papers at NeurIPS/ICML/ACL/EMNLP, or models and PRs on Hugging Face 📍 Amsterdam, hybrid · Relocation and visa support 💶 €90k–185k base + 20% bonus