Machine Learning Engineer

About the role

We are seeking a Machine Learning Engineer to join a globally distributed, innovation‑driven team at the intersection of artificial intelligence, neuroscience, and digital finance. You will work on cutting‑edge brain‑computer interface technologies, deep learning, and generative AI systems that decode and interpret neural activity, contributing to both research breakthroughs and scalable engineering solutions.

Key responsibilities

• Develop, train, and optimise scalable deep learning models for brain decoding and AI‑driven neuroscience applications.
• Collaborate closely with research scientists and cross‑functional teams to advance generative modelling and representation learning initiatives.
• Improve and maintain machine learning pipelines, ensuring high performance, scalability, and reliability across distributed GPU environments.
• Contribute to research activities, including experimentation, hypothesis testing, technical documentation, and participation in conferences or scientific publications.
• Maintain high standards of software engineering, automation, code quality, and reproducibility across projects.
• Identify technical bottlenecks and implement innovative solutions to improve workflows, infrastructure, and model performance.
• Support the deployment and adaptation of AI models across diverse computing environments and evolving business needs.

Required profile

• Bachelor’s degree in Computer Science, Mathematics, Physics, Statistics, Neuroscience, Informatics or a related quantitative discipline.
• 3+ years of professional or research experience in machine learning, deep learning or AI engineering.
• Strong programming skills in Python with hands‑on experience using PyTorch.
• Solid understanding of supervised, self‑supervised, semi‑supervised and generative deep learning techniques.
• Proven ability to design experiments, evaluate models scientifically and derive data‑driven conclusions.
• Experience handling large or unstructured datasets and strong analytical problem‑solving capabilities.
• Excellent collaboration, communication and organisational skills in remote, cross‑functional environments.

Required skills

• Python
• PyTorch
• Hugging Face
• Transformers
• Diffusers
• Accelerator