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Senior / Lead Research Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
c1
Страна
Germany
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR
Senior / Lead Research Scientist (AI): Developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second with an accent on training, new architectures, and scaling. Focus on evaluation, LLM-as-judge, and failure analysis.

Location: Germany. Future relocation to the San Francisco Bay Area may be supported with full U.S. visa and relocation assistance, subject to business needs and work authorization requirements.

Company

hirify.global is a research lab and inference provider building realtime AI systems, speech models, LLM-serving infrastructure, and modular APIs for high-volume consumer applications.

What you will do

  • Define and investigate open-ended research questions across foundation models, agents, multimodal systems, and realtime AI.
  • Design and run experiments involving model architectures, reinforcement learning, reward modeling, scaling, and test-time compute.
  • Build benchmarks, evaluation loops, quality measurement systems, and failure-analysis processes.
  • Develop research from initial hypothesis through experiments, written findings, and production deployment.
  • Collaborate with U.S.-based leadership and engineering teams to ship research into high-volume inference systems and APIs.

Requirements

  • Strong practical experience in enough of the relevant areas to demonstrate research ability and impact.
  • Experience with foundation models, evaluation, frontier AI topics, or related machine learning research.
  • Evidence of full-cycle research ownership, including framing questions, running experiments, writing results, and shipping outcomes.
  • Published research at venues such as ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI, or equivalent practical work.
  • PhD in machine learning or natural language processing, or equivalent practical experience.
  • Professional fluency in written and spoken English is required.

Nice to have

  • Non-trivial AI side projects, interdisciplinary experiments, open-source contributions, competitions, or other public work.
  • Experience with LLM-as-judge systems, world models, tool use, or agentic systems.

Culture & Benefits

  • Work on unclear problems with autonomy to define the direction and design the experiment.
  • Evaluation is treated as a first-class research product, with impact prioritized over publication volume.
  • Flat structure, fast iterations, and minimal process overhead.
  • Opportunities to share work that advances the field.
  • Potential U.S. visa and relocation support for candidates relocating to the San Francisco Bay Area, subject to business needs and legal requirements.

Hiring process

  • No cover letter is required; examples or links to work you have built are valued.

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