4 часа назад
Principal Investigator (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Investigator (AI) (Machine Learning): Building a new machine learning research and advanced development team focused on post-training, reinforcement learning, dataset optimization, LLM pretraining, sparsity, and agentic or generative AI domains with an accent on adapting algorithms and model architectures to Cerebras hardware. Focus on organizing a cohesive research agenda, training and evaluating models at scale, optimizing system performance, and co-designing next-generation hardware and software architectures.
Location: Sunnyvale, United States; on-site
Company
Systems develops specialized AI hardware and software for high-speed model training and inference.
What you will do
- Build and lead a new machine learning research and advanced development team.
- Organize advanced development topics into a cohesive research agenda.
- Adapt novel algorithms and model architectures to the platform.
- Train, tune, and evaluate models to guide production use cases.
- Collaborate with ML teams and co-design next-generation hardware and software architectures.
- Work with customers and academic partners to generate insight and research credibility.
Requirements
- PhD in computer science or a related field.
- Strong understanding of machine learning theory in areas such as post-training, reinforcement learning, dataset optimization, LLM pretraining, sparsity, or generative AI.
- Experience engineering machine learning systems for large-scale or production deployment.
- Experience leading researchers or engineers.
- Experience with large language models, distributed training, or training-speed optimization is valuable.
- Ability to analytically model or optimize system performance.
Nice to have
- Patents or publications in top-tier conferences or journals.
- Experience with model architecture transformations for target hardware or low-level kernel development such as Triton.
Culture & Benefits
- Work on a specialized AI platform designed to overcome GPU limitations.
- Opportunity to publish and open-source AI research.
- Access to one of the fastest AI supercomputers.
- Startup vitality combined with job stability.
- Non-corporate culture focused on individual beliefs, learning, growth, and support.
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