Develop and evaluate scalable deep learning algorithms that are central to our brain decoding initiatives.
Collaborate closely with data scientists to pioneer research in generative modeling and representation learning.
Identify bottlenecks in data processing pipelines and devise effective solutions, improving performance and reliability.
Maintain high standards of code quality, organization, and automatization across all projects.
Adapt machine learning and neural network algorithms to optimize performance in various computing environments, including distributed clusters and GPUs.
Write and revise papers, participate in conferences, communicate and disseminate results.

Degree in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field.
3+ years of experience of working in industry or research.
Strong programming skills in Python, with experience in developing machine learning algorithms or infrastructure using Python and PyTorch.
Experience in deep learning techniques such as supervised, semi-supervised, self-supervised learning, and/or generative modeling.
Strong scientific background and ability to formulate and test novel hypotheses with proper experiments, draw conclusions and support claims.
Proficient in managing unstructured datasets with strong analytical skills.
Demonstrated project management and organizational skills.
Proven ability to support and collaborate with cross-functional teams in a dynamic environment.

Machine Learning Engineer

Key skills