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1 месяц назад

LLM Data Strategy Expert (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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

hirify.global 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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