6 часов назад
Member of Technical Staff, Pretraining (AI)
180 000 - 450 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Member of Technical Staff, Pretraining (AI) (LLM and multimodal pretraining): Building large-scale pretraining systems and foundation models for real-time intelligence across text, audio, and vision with an accent on data curation, distributed training, and model optimization. Focus on designing scalable training infrastructure, improving data and architecture, and evaluating foundation model capabilities.
Location: San Jose, United States
Salary: $180,000–$450,000 annually
Company
is an artificial intelligence company developing personalized, proactive, multimodal intelligence and next-generation AI hardware.
What you will do
- Drive research and development in large-scale LLM and multimodal pretraining.
- Develop data pipelines for large-scale curation, filtering, deduplication, and synthetic data generation.
- Design efficient distributed training strategies, including scaling laws and optimization techniques.
- Build and improve pretraining infrastructure, training systems, and compute-efficiency solutions.
- Develop evaluation frameworks and internal benchmarks for model capability and pretraining progress.
- Collaborate with research and engineering teams to improve foundation model performance and scalability.
Requirements
- Proven experience improving large-scale neural network performance through advances in pretraining data, modeling, or training systems.
- Strong experience with distributed training frameworks such as Megatron, DeepSpeed, or similar tools.
- Deep understanding of LLM or multimodal pretraining, data pipelines, scaling behavior, and optimization.
- Experience with data-driven experimentation, systematic analysis, and debugging at scale.
- Experience building or using large-scale training infrastructure and high-performance computing systems.
- Strong ownership and ability to work in a fast-paced, research-driven environment.
Nice to have
- Experience with multimodal pretraining across text, audio, and vision.
Culture & Benefits
- Work in a research-driven environment focused on advancing foundation model capabilities.
- Collaborate across research and engineering teams.
- Compensation may include additional components and benefits depending on the role.
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