Experteer 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 / Ventajas
• Design and implement the evaluation suite to define “better” for the autonomous research agent
• Build a pipeline to convert deployment run data into a training-ready corpus
• Post-train small open-weight models (SFT, preference tuning, adapters) to beat baselines with lower cost and latency
• Run repeated training cycles on evolving data
• Participate in journal clubs and stay at the frontier of post-training specialized models
• Own the Next-Gen roadmap with the Founding Scientist, defining data-to-capability sequencing





Responsabilidades
• Post-trained open-weight language models with SFT and at least one preference-tuning method
• Experience retraining models on changing data, handling regression and forgetting (replay, data mixing, adapter strategies, eval gating)
• Built evaluation harnesses for specific tasks and defended results
• Fluent 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 Hub
• Proactive operator mindset; ability to build pipelines when tooling is incomplete
• Willingness to work in-office in Barcelona or relocate

Requisitos principales
• Flexible working hours
• Private health insurance
• Private life insurance
• Equity
• Home office allowance (valued over 1000 USD)
• Learning and development budget (1000 USD)

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