Research Intern

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 targeting top-tier AI venues such as NeurIPS, ICML, and ICLR

Requirements

• Currently enrolled in a PhD program (or exceptional Master’s) in Computer Science, Machine Learning, or related field
• Prior experience conducting original research with authorship on ML papers
• Strong understanding of deep learning fundamentals
• Experience with at least one major framework such as PyTorch, JAX, or TensorFlow
• Self-directed with ability to thrive in high-autonomy environments
• Excellent written and verbal communication skills

Preferred Qualifications

• Research experience in distributed systems, continual learning, or modular neural architectures
• Desire to contribute to open research and collaborate with the broader ML community
• Experience at the intersection of cryptography and machine learning

Benefits

• Competitive salary plus equity and token pool
• Fully remote work across PT to CET time zones
• Visa sponsorship available for US relocation
• 3–4 all-expenses-paid company retreats per year
• Equipment stipend
• Paid sick leave and flexible vacation
• Health, vision, and dental insurance for US employees and dependents

About the Company

Gensyn is building a decentralized protocol that networks compute hardware to provide the core resources required for machine intelligence to flourish alongside human intelligence.