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Research Scientist / Research Engineer, Inference Systems (AI)

Формат работы
onsite
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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Описание вакансии

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TL;DR
Research Scientist / Research Engineer, Inference Systems (AI): Rebuilding and optimizing inference serving systems for agentic workloads and large MoE models with an accent on disaggregation, tiered caching, distributed serving, and measured system-level improvements. Focus on designing new inference approaches, implementing them in production serving stacks, and producing results suitable for deployment and publication.

Location: Singapore, Singapore or Austin, United States

Company

hirify.global is a technology company focused on Bitcoin mining, AI cloud infrastructure, computing power solutions, and high-performance computing datacenters.

What you will do

  • Research the frontier of inference systems for agentic workloads, large mixture-of-experts models, disaggregated serving, and tiered caching.
  • Evaluate which research ideas are relevant to production workloads and define measurements before optimizing.
  • Design and implement system-level improvements in the inference serving stack.
  • Develop new approaches when existing inference architectures do not meet performance or efficiency requirements.
  • Collaborate with the AI Cloud platform team responsible for the production serving stack.
  • Produce results strong enough to deploy and publish.

Requirements

  • Master’s or PhD in Computer Science, Electrical Engineering, or a related field; exceptional Bachelor’s candidates may also be considered.
  • Strong understanding of LLM inference and serving systems.
  • Hands-on experience with at least one inference engine, such as vLLM or SGLang.
  • Experience combining research with implementation and shipping systems code.
  • Strong Python and C++ skills.
  • Ability to define reliable measurements and clearly explain what results do and do not demonstrate.

Nice to have

  • Distributed serving experience.
  • Publications at leading systems venues.
  • Significant open-source contributions to inference projects.

Culture & Benefits

  • Inclusive environment that values authenticity and diverse perspectives.
  • International team working in English across Singapore and the United States.
  • Opportunity to contribute directly to AI cloud and digital asset infrastructure.
  • Autonomous work, personal accountability, and opportunities for rapid growth.
  • Training, mentoring, welfare benefits, and developmental opportunities.

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