4 часа назад
AI Residency Program
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Residency Program (AI/ML research): Developing AI systems for industrial engineering and materials discovery, including reinforcement learning, evolutionary LLM systems, and distributed training of large-scale 3D simulation models with an accent on scientific machine learning and high-performance computing. Focus on designing algorithms, building scalable training systems, and solving complex engineering and materials science problems.
Location: London, UK; hybrid work arrangement
Company
AI-first industrial company developing hardware for AI data centers through AI-automated hardware engineering and AI-designed materials science.
What you will do
- Work on high-impact AI projects for industrial engineering and materials discovery.
- Develop reinforcement learning systems with verifiable rewards for engineering and materials discovery tasks.
- Build evolutionary systems that compose large language models at test time to solve scientific problems.
- Develop distributed training systems for large-scale simulation and generative models of 3D systems.
- Contribute to open science and open-source software through published research and technical implementations.
Requirements
- Recent graduate in a technical discipline with an exceptional technical background.
- Strong mathematics and statistics knowledge, especially linear algebra.
- Strong knowledge of algorithms and data structures.
- Strong programming skills and familiarity with high-performance computing concepts.
- Examples of outstanding technical achievements.
- Professional AI or machine learning experience is not required.
Culture & Benefits
- 18-month residency program focused on applied AI research.
- Work in tightly integrated, vertically integrated teams spanning AI research, advanced materials, engineering, operations, and manufacturing.
- Access to cutting-edge research in large language models and AI applied to science.
- Opportunities to publish work and build a machine learning profile.
- Opportunities to create open-source demonstrations of software engineering and technical work.
- Work on physical technologies intended to improve AI data-center performance and sustainability.
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