Machine Learning Engineer Intern

About the role

This internship focuses on developing and evaluating deep learning algorithms specifically for brain decoding initiatives. The role requires collaboration with data scientists on generative modeling and representation learning, alongside identifying and resolving bottlenecks in data processing. A key aspect is adapting machine learning algorithms for diverse computing environments while maintaining high code quality.

The successful intern will contribute to Tether's broader mission of integrating reserve-backed tokens across blockchains and advancing AI and peer-to-peer technology. This position is part of a global team working on innovative projects at the intersection of AI and neuroscience. The work involves writing and revising papers to communicate and disseminate research results.

Success in this role means effectively contributing to the development of scalable deep learning algorithms for brain-computer interfaces. It also involves demonstrating strong analytical skills to solve complex problems and collaborating effectively with cross-functional teams to advance the project goals. The intern will be instrumental in pushing the boundaries of AI applications within the company's innovative product suite.

The salary for this full-time internship ranges from $60,000 to $90,000 annually.

Skills that matter here

• Python: This role requires programming in Python for developing and implementing machine learning algorithms.
• PyTorch: Experience with PyTorch is necessary for building and training deep learning models.
• deep learning: The intern will develop and evaluate deep learning algorithms for brain decoding.
• generative modeling: Collaboration with data scientists on generative modeling is a key responsibility.
• distributed clusters: The role involves adapting machine learning algorithms for various computing environments, including distributed clusters.
• GPUs: Experience with GPUs is relevant for optimizing and running deep learning models efficiently.

Who this role suits

• A PhD student currently enrolled in a quantitative field.
• Someone with at least one year of industry or research experience.
• An individual who excels in analytical problem-solving and project management.
• A person who thrives in a collaborative environment and can work effectively with diverse teams.

From the employer

• Develop and evaluate scalable deep learning algorithms for brain decoding initiatives.
• Collaborate with data scientists on generative modeling and representation learning.
• 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.

• Degree and currently involved in a PhD program in a quantitative field.
• 1+ years of experience in industry or research.
• Programming skills in Python and experience with PyTorch.
• Experience in deep learning techniques.
• Strong analytical skills and project management abilities.
• Ability to collaborate with cross-functional teams.

• Work remotely from anywhere in the world.
• Collaborate with a global team of talented individuals.
• Contribute to innovative projects at the intersection of AI and neuroscience.