6 дней назад
Research Intern (Machine Learning)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Intern (Machine Learning): Contributing to scalable, distributed machine learning research and prototyping neural network architectures for decentralized compute environments with an accent on modular architectures, verifiability, continual learning, and scale. Focus on designing novel models, researching deep learning systems across heterogeneous devices, and contributing to publications targeting NeurIPS, ICML, and ICLR.
Location: Fully remote; hiring between the West Coast (PT) and Central Europe (CET) time zones
Company
is developing an open, permissionless protocol that networks compute hardware for scalable machine intelligence.
What you will do
- Contribute to original deep learning research focused on modular architectures, verifiability, continual learning, and scale.
- Design and prototype neural network architectures for decentralized compute environments.
- Research scalable, distributed machine learning systems across heterogeneous devices.
- Collaborate with academic and industry researchers on joint projects and publications.
- Target research venues including NeurIPS, ICML, and ICLR.
Requirements
- Currently enrolled in a PhD program, or exceptionally a Master’s program, in Computer Science, Machine Learning, or a related field.
- Prior experience conducting original research, ideally with authorship or co-authorship of machine learning papers.
- Strong understanding of deep learning fundamentals and experience with at least one major framework, such as PyTorch, JAX, or TensorFlow.
- Self-directed, curious, and comfortable working with high autonomy.
- Excellent written and verbal communication skills.
Nice to have
- Research experience in distributed systems, continual learning, or modular neural architectures.
- Interest in open research and collaboration with the broader machine learning community.
- Experience at the intersection of cryptography and machine learning.
Culture & Benefits
- Autonomous work environment with ownership of workstreams, goals, and deadlines.
- Small team focused on direct communication, high performance, continuous learning, and reducing unnecessary process.
- Visa sponsorship is available for candidates who want to relocate to the United States after hiring.
- Three to four company retreats per year with expenses covered.
- Equipment provided as needed, plus paid sick leave and flexible vacation.
- Health, vision, and dental insurance, including spouse and dependents, for employees in the United States. Benefits listed here apply to full-time employees only.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →