Overview In this role you will advance an autonomous research agent by designing an evaluation suite and data-to-training pipeline. You’ll post-train small open-weight models to improve generation, ranking and execution of scientific ideas, collaborating with the Founding Scientist and a focused engineering team in Barcelona. You’ll iterate on evolving data, publish results in journal clubs, and shape the Next-Gen roadmap to unlock capabilities in the Seqera Platform.

Compensaciones / BeneficiosFlexible working hoursPrivate health insurancePrivate life insuranceEquityHome office allowance (valued over 1000 USD)Learning and development budget (1000 USD) ResponsabilidadesDesign and implement the evaluation suite to define “better” for the autonomous research agentBuild a pipeline to convert deployment run data into a training-ready corpusPost-train small open-weight models (SFT, preference tuning, adapters) to beat baselines with lower cost and latencyRun repeated training cycles on evolving dataParticipate in journal clubs and stay at the frontier of post-training specialized modelsOwn the Next-Gen roadmap with the Founding Scientist,



defining data-to-capability sequencing Requisitos principalesPost-trained open-weight language models with SFT and at least one preference-tuning methodExperience retraining models on changing data, handling regression and forgetting (replay, data mixing, adapter strategies, eval gating)Built evaluation harnesses for specific tasks and defended resultsFluent Python and modern stack (PyTorch, transformers, TRL, PEFT, vLLM or equivalents)Strong open-source footprint or contributions to the mentioned tools, or fine-tuned models on the HubProactive operator mindset; ability to build pipelines when tooling is incompleteWillingness to work in-office in Barcelona or relocateProblem-solving and initiativeCollaborative mindset and ability to defend results to skepticsAdaptability in data/tooling directions and ambiguityPost-training of open-weight LMs (SFT, preference tuning)Data replay and continual learning techniques (data mixing, adapters, eval gating)Evaluation harness design and metric definition

📌 Machine Learning Research Engineer (Barcelona)
🏢 Jobrapido
📍 Barcelona