Data Scientist for Brain-Computer Interface Innovation
4 weeks ago
Tether Operations Limited is a pioneering company at the forefront of integrating artificial intelligence with brain-computer interface technologies. We leverage deep learning, generative models, and representation learning to decode and interpret brain activity.
Our mission is to bridge the gap between AI and neuroimaging, driving innovation that's not only revolutionary but also accessible, transparent, and privacy-focused. To achieve this, we're seeking a skilled data scientist to join our dynamic Brain & AI team.
This role focuses on developing AI models that enhance our understanding of neural mechanisms and apply this knowledge to real-world applications. You will be instrumental in pushing the boundaries of what's possible in AI and neuroscience, helping to solve some of the most complex and fascinating challenges in the field today.
Main Responsibilities:
- 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
Requirements:
- Strong programming skills in Python, with experience in developing machine learning algorithms or infrastructure using Python and PyTorch
- Demonstrated project management and organizational skills
- Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
- Hands-on experience in training and fine-tuning generative models like diffusion models or large language models such as GPTs and LLAMAs
- Experience with data and model visualization tools
About the Role:
The estimated salary for this position is $120,000 - $180,000 per year, depending on location and experience. This figure is based on industry standards and the requirements of the role.
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