LLM Data Strategy Expert (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
LLM Data Strategy Expert (AI): Orchestrating the fine-grained reshaping of model capabilities through SFT and annealing strategies with an accent on task mixtures and curriculum learning. Focus on building synthetic data pipelines, establishing closed-loop attribution systems, and optimizing model performance in reasoning and coding domains.
Location: Must be based in Singapore or Austin, US
Company
is a world-leading technology company for Bitcoin mining and AI cloud, operating a frontier AI lab dedicated to transforming energy into intelligence.
What you will do
- Define SFT architectures, task mixtures, and difficulty gradients across reasoning, coding, and Agent domains.
- Design data mixtures for the annealing phase, optimizing high-density task data and monitoring capability drift.
- Build synthetic data pipelines for verifiable domains such as Math and Code using execution-based verifiers.
- Establish a robust closed-loop attribution system to link data distribution to training dynamics and model behavior.
- Pinpoint data noise or distribution collapse through the analysis of Eval Regressions.
Requirements
- Proven experience in designing SFT Mixtures and understanding how data distributions impact model behavior.
- Sharp intuition for identifying reasoning hallucinations and distribution collapse.
- Proficiency in large-scale data processing and inference pipelines, specifically vLLM, SGLang, or Ray.
- Must be located in Singapore or Austin, US.
Nice to have
- Experience implementing Annealing strategies.
- Practical insights into DPO data evolution.
- In-depth research experience in Data-centric AI.
Culture & Benefits
- Culture that values authenticity, diversity of thought, and an inclusive environment.
- Fast-growing company with a startup spirit and opportunities to network with industrial pioneers.
- High degree of personal accountability, autonomy, and fast learning opportunities.
- Ability to make a direct impact on the future of the digital asset and AI industries.
- Attractive welfare benefits, training, and mentoring opportunities.
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