Research Intern

Gensyn

Remote
Fully remote
Deep learning fundamentals
Pytorch, jax, or tensorflow
Modular architectures
Gensyn is seeking a Research Intern to contribute to innovative research in scalable, distributed machine learning systems, particularly focusing on deep learning and neural network architectures. The role is fully remote, allowing candidates from specific time zones and offers competitive compensation along with various benefits

Job Summary

  • Contribute to cutting-edge research in scalable, distributed machine learning systems alongside experienced researchers and engineers.
  • Design and prototype novel neural network architectures for decentralized compute environments.
  • Competitive salary + share of equity and token pool, fully remote work, and fully paid company retreats.

Matching Summary

Match Score: 85

Gensyn is seeking a Research Intern to contribute to innovative research in scalable, distributed machine learning systems, particularly focusing on deep learning and neural network architectures. The role is fully remote, allowing candidates from specific time zones and offers competitive compensation along with various benefits.

Skills & Requirements

Must-have

  • deep learning fundamentals
  • PyTorch, JAX, or TensorFlow
  • modular architectures
  • verifiability
  • continual learning
  • scale

Nice-to-have

  • distributed systems research
  • open research contribution
  • ML research community collaboration

Key Requirements

  • PhD program enrollment
  • Master's program enrollment (exceptional cases)
  • Prior original research experience
  • Authorship or co-authorship on ML papers
  • Self-directed and curious
  • High autonomy environment

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter