Senior Machine Learning Engineer | up to €180k
Bluebird · Amsterdam Area
Tailor my CV for this job — freeTrain 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 usersAn in-house AI team that trains its own domain-specific LLMs, with models already in productionFull support from senior leadership, up to the CEO. AI is the company’s top priorityA 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 datasetsBuild 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+ tokensGenerate synthetic data for instruction tuning, and build the evaluation frameworks that guide decisionsLead 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 throughputExpert in Python and PyTorch (Transformers, Accelerate, DeepSpeed)Experience as a technical lead. You make others better and focus on results for the businessExtra 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