Research Intern

Gensyn; United States; Remote; USD 30,000 - 45,000; Full time

Benefits offered by this job

Competitive salary + equity

Fully remote work

Visa sponsorship available

All-expenses-paid company retreats

Flexible vacation and paid sick leave

Company-sponsored health insurance

Job summary

A leading research organization is looking for a Research Intern to contribute to ground-breaking research in scalable, distributed machine learning systems. This role involves designing modular neural architectures and contributing to joint publications with experienced researchers. Candidates should be enrolled in a PhD program with a strong understanding of deep learning frameworks like PyTorch or TensorFlow. The position is fully remote and offers competitive salary and benefits.

Qualifications

• Experience conducting original research with authorship on ML papers.
• Research experience in distributed systems or modular neural architectures.
• Desire to contribute to open research.

Responsibilities

• Contribute to original research in deep learning.
• Design and prototype novel neural network architectures.
• Contribute to joint publications and projects.

Skills

Deep learning fundamentals

Self-directed

Curiosity

Excellent communication skills

Education

Currently enrolled in a PhD program in Computer Science or related field

Tools

PyTorch

JAX

TensorFlow

Job description

Machine intelligence will soon take over humanity’s role in knowledge-keeping and creation. What started in the mid-1990s 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

• As a Research Intern, you will contribute to cutting‑edge research in scalable, distributed machine learning systems. Working alongside experienced researchers and engineers, you'll 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.

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

Compensation / Benefits

• 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 (🇺🇸 only).

Our Principles

Autonomy & Independence

• Don’t ask for permission – we have constraint culture, not a permission culture.
• Claim ownership of any work stream and set its goals/deadlines, rather than waiting to be assigned work or relying on job specs.
• Push & pull context on your work rather than waiting for information from others and assuming people know what you’re doing.
• Communicate to be understood rather than pushing out information and expecting others to work to understand it.
• Stay a small team – misalignment and politics scale super‑linearly with team size. Small protocol teams rival much larger traditional teams.

Rejection of mediocrity & high performance

• Give direct feedback to everyone immediately – rather than avoiding unpopularity, expecting things to improve naturally, or trading short‑term pain for extreme long‑term pain.
• Embrace an extreme learning rate – rather than assuming limits to your ability / knowledge.
• Don’t quit – push to the final outcome, despite any barriers.
• Be anti‑fragile – balance short‑term risk for long‑term outcomes.
• Reject waste – guard the company’s time, rather than wasting it in meetings without clear purpose/focus, or bikeshedding.
• Build and design thinly.