Machine Learning Engineer Intern - Remote

Overview

Join Tether and shape the future of digital finance as a Machine Learning Engineer Intern. This role focuses on developing AI models that enhance our understanding of neural mechanisms and applies this knowledge to real-world applications such as brain-computer interfaces.

In Short

• Develop and evaluate scalable deep learning algorithms for brain decoding.
• Collaborate with data scientists on generative modeling research.
• Identify and solve bottlenecks in data processing pipelines.
• Maintain high standards of code quality and organization.
• Adapt machine learning algorithms for various computing environments.
• Write and revise papers, communicate and disseminate results.
• Engage in a dynamic team environment focused on AI and neuroscience.
• Work remotely with a global team.
• Contribute to innovative projects in fintech.
• Support cross-functional collaboration.

Requirements

• Currently enrolled in a PhD program in a quantitative field.
• 1+ years of experience in industry or research.
• Proficiency in Python and experience with machine learning algorithms.
• Familiarity with deep learning techniques.
• Strong analytical skills and ability to manage unstructured datasets.
• Project management and organizational skills.
• Ability to support and collaborate in a dynamic environment.

Benefits

• Work remotely from anywhere in the world.
• Collaborate with a global talent powerhouse.
• Contribute to pioneering projects in AI and finance.
• Opportunity for personal and professional growth.
• Be part of a fast-growing company in the fintech space.