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Machine Learning Engineer Intern at Tether – Remote Deep Learning and Research Internship

Machine Learning Engineer Intern at Tether – Remote Deep Learning and Research Internship

Sourced from careers.tether.io

Machine Learning Intern

Remote
Full-Time
Posted April 20, 2026
Salary
40K-65K/Month
Batches
2026,2027
Apply Route
100% Direct

About The Role

Tether offers advanced machine learning opportunities focused on research-driven systems where large-scale computation, deep learning, and scientific experimentation intersect. This internship centers on brain decoding research, requiring strong technical depth in neural networks, representation learning, and generative modeling. Interns work closely with research-oriented teams on challenging machine learning problems involving data pipelines, GPU workloads, and scientific experimentation. The role is designed for candidates who want hands-on experience applying deep learning methods in research-heavy environments while contributing to cutting-edge AI exploration in distributed computing setups 🧠🤖

Responsibilities

Develop and evaluate scalable deep learning algorithms for brain decoding research.
Collaborate with data scientists on generative modeling and representation learning tasks.
Identify bottlenecks in machine learning data pipelines and improve reliability.
Maintain strong code quality, automation, and project organization standards.
Adapt machine learning algorithms for distributed clusters and GPU environments.
Support technical writing, research documentation, and paper revisions.
Communicate experimental findings and contribute to scientific discussions.

Requirements

  • Currently pursuing a PhD in Computer Science, Statistics, Physics, Mathematics, Neuroscience, or related quantitative field.
  • At least 1 year of industry or research experience.
  • Strong Python programming skills with PyTorch experience.
  • Understanding of supervised, semi-supervised, self-supervised, or generative learning methods.
  • Strong scientific thinking and experimentation ability.
  • Experience handling unstructured datasets.
  • Strong collaboration and project organization skills.

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