At Tether, we’re pioneering the integration of artificial intelligence with brain-computer interface technologies. Our innovative projects utilize deep learning, generative models, and representation learning to decode and interpret brain activity. With a robust foundation in both established and cutting-edge AI infrastructure, we aim to bridge the gap between AI and neuroimaging, driving revolutionary advancements that prioritize accessibility, transparency, and privacy.
Job Description: Machine Learning Engineer
We are seeking a motivated and skilled Machine Learning Engineer to join our dynamic Brain & AI team. This role is essential for developing AI models that enhance our understanding of neural mechanisms, applying this knowledge to real-world applications. You will play a crucial role in pushing the boundaries of AI and neuroscience, tackling some of the field’s most complex challenges.
Responsibilities
- Develop and evaluate scalable deep learning algorithms central to our brain decoding initiatives.
- Collaborate with data scientists to lead research in generative modeling and representation learning.
- Identify bottlenecks in data processing pipelines and implement effective solutions to enhance performance and reliability.
- Maintain high standards of code quality, organization, and automation across all projects.
- Adapt machine learning and neural network algorithms to optimize performance in various computing environments, including distributed clusters and GPUs.
Basic Qualifications
- Strong programming skills in Python, with experience in developing machine learning algorithms or infrastructure using Python and PyTorch.
- Familiarity with deep learning techniques such as supervised, semi-supervised, self-supervised learning, and generative modeling.
- Proficient in managing unstructured datasets, complemented by strong analytical skills.
- Demonstrated project management and organizational skills.
- Proven ability to collaborate with cross-functional teams in a dynamic environment.
Preferred Qualifications
- Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
- Familiarity with deep learning libraries such as Huggingface, Transformers, Accelerator, and Diffuser.
- Hands-on experience in training and fine-tuning generative models like diffusion models or large language models (GPTs and LLAMAs).
- Experience with data and model visualization tools.
Join us at Tether and be part of a revolutionary journey that merges AI with neuroscience, creating innovations that can change lives. If you’re ready to delve into this exciting field, we want to hear from you!
