Responsibilities
- Develop and evaluate scalable deep learning algorithms central to 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.
Requirements
- Motivated and skilled in machine learning engineering.
- Experience developing AI models, particularly in deep learning, generative models, and representation learning.
- Ability to work on projects involving neural mechanisms, encoding and decoding models, and brain-computer interfaces.
- Excellent English communication skills.
Nice to Have
- Background in AI and neuroscience research.
- Experience with distributed computing environments, GPUs, and large-scale data processing.
Additional Information
- Excellent English communication skills required.
- 100% remote work from anywhere in the world.
