Research Intern

EF; Deutschland; Remote; EUR 40.000 - 60.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Company retreats

Paid sick leave

Health, vision, and dental insurance

Zusammenfassung

Gensyn is seeking a Research Intern to advance research in scalable machine learning systems. In this role, you will work closely with experienced researchers to design and prototype innovative neural network architectures focused on decentralized environments.

The ideal candidate is enrolled in a PhD program in Computer Science or a related field with a strong foundation in deep learning. Benefits include competitive salary, remote work, and comprehensive health insurance.

Qualifikationen

• Strong understanding of deep learning fundamentals.
• Prior experience conducting original research.
• Excellent written and verbal communication skills.

Aufgaben

• Contribute to original research in deep learning.
• Design and prototype novel neural network architectures.
• Collaborate on publications targeting top-tier AI venues.

Kenntnisse

Deep learning fundamentals

PyTorch

JAX

TensorFlow

Research

Ausbildung

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

Jobbeschreibung

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 in 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