Machine Learning Engineer (Denmark)

Job summary

This role involves contributing to innovative projects at the intersection of artificial intelligence and neuroscience, specifically focusing on brain-computer interface technologies and generative AI systems. The position requires collaboration with multidisciplinary teams to develop scalable machine learning models and AI infrastructure.

Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Physics, Statistics, Neuroscience, Informatics, or a related quantitative field.
• 3+ years of experience in machine learning, deep learning, or AI engineering.
• Proficiency in Python and experience with machine learning frameworks like PyTorch.
• Strong understanding of various deep learning techniques including supervised and generative methods.
• Experience with large datasets and strong analytical skills.

Responsibilities

• Develop and optimize deep learning models for neuroscience applications.
• Collaborate with research scientists to advance AI initiatives.
• Maintain machine learning pipelines for performance and scalability.
• Engage in research activities and contribute to scientific publications.
• Identify and resolve technical bottlenecks in workflows.

Skills

• Excellent collaboration and communication skills.
• Familiarity with tools like Hugging Face and experience with generative models is advantageous.

Education

• A PhD and publications in AI or neuroscience are considered a plus.

Tools

• Experience with EEG, fMRI, or MEG data is beneficial.