Machine Learning Engineer Intern at Tether

Are you passionate about artificial intelligence, data science, and cutting-edge technology? Tether, a global leader in digital finance and blockchain innovation, is offering a Machine Learning Engineer Internship for talented individuals eager to work on advanced AI and neuroscience projects.

This fully remote internship provides a unique opportunity to collaborate with global experts while contributing to groundbreaking research in machine learning and brain-computer interface technologies.

What You’ll Do

As a Machine Learning Engineer Intern, you will help design and test AI models, analyze complex datasets, and support research that connects artificial intelligence with real-world applications.

Key Responsibilities

• Develop and evaluate deep learning algorithms
• Collaborate with data scientists on AI and research projects
• Improve data processing systems and model performance
• Maintain organized and high-quality code
• Communicate research findings and technical results

Requirements

• Currently enrolled in or pursuing a PhD in Computer Science, Statistics, Mathematics, Physics, Neuroscience, or a related field
• At least 1 year of experience in research or industry
• Strong programming skills in Python
• Knowledge of machine learning and deep learning techniques
• Strong analytical and problem-solving abilities

Preferred Skills:

• Experience with PyTorch or similar deep learning tools
• Research publications in AI or related fields
• Experience working with large datasets or generative models

What You’ll Gain

• Hands-on experience with advanced AI and machine learning projects
• Opportunity to work with a global team of experts
• Exposure to innovative technologies in fintech and data science
• Flexible, fully remote work environment

Why Consider This Role?

This internship is ideal for advanced students or researchers who want to build experience in artificial intelligence, contribute to innovative technology projects, and work remotely with a leading company in the digital finance industry.