AI Researcher

Há 23 horas

Rio de Janeiro, Rio de Janeiro, Brasil beBeeMachine Tempo inteiro US$120.000 - US$150.000

AI Researcher

Tether is pioneering a global financial revolution by integrating artificial intelligence with brain-computer interface technologies.

We are seeking an innovative AI researcher to join our dynamic Brain & AI team.

  • 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.

Basic Qualifications:

  • Degree in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field.
  • 3+ years of experience 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.

Preferred Qualifications:

  • PhD and research experience in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field.
  • Scientific publications in top-tier AI and neuroscience conferences or peer-reviewed journals.
  • Familiarity with deep learning libraries such as Pytorch, Huggingface, Transformers, Accelerator, and Diffuser.
  • Hands-on experience in training and fine-tuning generative models like diffusion models or large language models.
  • Experience with data and model visualization tools.
  • Experience with non-invasive neural data or invasive neural recordings.

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