Machine Learning Research Engineer

About the role

Profluent is building foundation models for biology and seeks a Machine Learning Research Engineer to advance its protein‑design platform. You will develop and scale generative models, build the supporting infrastructure, and collaborate closely with ML and protein‑design scientists.

Key responsibilities

• Design and implement modular, reproducible pipelines for model fine‑tuning, alignment and evaluation.
• Develop petabyte‑scale ETL pipelines to prepare protein data for pre‑training.
• Optimize training and inference code for maximum throughput on multi‑GPU and multi‑cloud environments.
• Build tooling that enables rapid prototyping and productionisation of research ideas.
• Partner with scientists to translate prototype concepts into production‑ready systems.

Required profile

• Self‑motivated engineer comfortable owning end‑to‑end ML workflows.
• Strong focus on model quality, efficiency and reliability.
• Willingness to step beyond core responsibilities to support the team.

Required skills

• ETL pipeline development.
• GPU hardware optimisation.
• Distributed and multi‑cloud system experience.
• Hyperparameter search and model benchmarking.