Research Intern at Gensyn

Feedinkoo: Remote Jobs; United States; Remote; USD 80,000 - 120,000; Full time

Benefits offered by this job

Competitive salary + share of equity

Fully remote work

Visa sponsorship

Paid sick leave and flexible vacation

Health, vision, and dental insurance

Job summary

Feedinkoo is looking for researchers to contribute to cutting-edge work in scalable, distributed machine learning systems. The ideal candidates will be currently enrolled in a PhD program in Computer Science or Machine Learning.

Responsibilities include contributing to original research, designing novel architectures for decentralized systems, and collaborating with leading researchers. We offer competitive salary, equity, and fully remote work options for team members in the US.

Qualifications

• Currently enrolled in a PhD or Master's program in Computer Science or Machine Learning.
• Prior research experience with authorship or co-authorship on ML papers is essential.
• Ability to thrive in a self-directed and curious environment.

Responsibilities

• Contribute to original research in deep learning.
• Design novel neural network architectures for decentralized environments.
• Collaborate on publications with academic and industry researchers.

Skills

Deep learning fundamentals

PyTorch

JAX

TensorFlow

Research collaboration

Excellent communication skills

Education

PhD in Computer Science or Machine Learning

Master’s program in related field (preferred)

Job description

Machine intelligence will soon take over humanity’s role in knowledge-keeping and creation. What started in the mid-1995s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks – with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence.

The Role

Contribute to cutting-edge research in scalable, distributed machine learning systems alongside experienced researchers and engineers. Explore new ways of building and verifying neural networks that operate across huge, decentralised, topologies of heterogenous devices.

Responsibilities

• Contribute to original research in deep learning with a focus on modular architectures, verifiability, continual learning, and scale
• Design and prototype novel neural network architectures for decentralized compute environments
• Contribute to joint publications and projects in collaboration with academic and industry researchers targeting top-tier AI venues such as NeurIPS, ICML, and ICLR

Competencies

• Must Have
  • Currently enrolled in a PhD program (or, in exceptional cases, in a Master’s program) in Computer Science, Machine Learning, or a related field
  • Prior experience conducting original research, ideally with authorship or co-authorship on ML papers
  • Strong understanding of deep learning fundamentals and experience working with at least one major framework, e.g. PyTorch, JAX, or TensorFlow
  • Self-directed, curious, and able to thrive in an environment with high autonomy
  • Excellent written and verbal communication skills
• Preferred
  • Research experience in distributed systems, continual learning, or modular neural architectures
  • A desire to contribute to open research and collaborate with the broader ML research community
• Nice to Have
  • Experience at the intersection of cryptography and machine learning

Benefits

Please note: the benefits listed below apply to full-time employees only

• Competitive salary + share of equity and token pool
• Fully remote work – we currently hire between the West Coast (\"PT\") and Central Europe (\"CET\") time zones
• Visa sponsorship – available for those who would like to relocate to the US after being hired
• 3-4x all expenses paid company retreats around the world, per year
• Whatever equipment you need
• Paid sick leave and flexible vacation
• Company-sponsored health, vision, and dental insurance – including spouse/dependents (US only)