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Research Systems Engineer (AI)

190 000 - 310 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
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 Systems Engineer (AI): Training frontier-scale language models and developing continual-learning methods for enterprise environments with an accent on reinforcement learning, distributed systems, and experimental design. Focus on co-designing algorithms and systems, building high-performance tools for analyzing training runs, and scaling GPU-based training and inference.

Location: San Francisco, California; on-site at the Mission office

Salary: $190,000–$310,000 annual base salary, plus equity and benefits

Company

hirify.global builds continual-learning infrastructure that helps enterprises train proprietary-data models and deploy improving AI agents.

What you will do

  • Post-train frontier-scale language models on enterprise tasks and environments.
  • Explore and develop reinforcement-learning techniques while co-designing algorithms and systems.
  • Contribute to Alchemy, a data research program for generating signal-rich training environments from production data.
  • Build high-performance internal tools for probing, debugging, and analyzing training runs.
  • Partner with infrastructure engineers to scale training and inference efficiently on GPUs.

Requirements

  • Experience training or serving large language models.
  • Experience building reinforcement-learning environments and evaluations for language models.
  • Proficiency in PyTorch, JAX, or similar machine-learning frameworks.
  • Experience with distributed training.
  • Strong experimental design skills.

Nice to have

  • Background in pre-training or post-training research.
  • Experience with high-performance computing environments or large-scale clusters.
  • Contributions to open-source ML research or infrastructure.
  • Published research, open-source contributions, or technically creative side projects.

Culture & Benefits

  • Research, product, and applied AI work closely together on enterprise AI systems.
  • Competitive compensation and equity.
  • 100% employer-paid health insurance.
  • Unlimited PTO and paid parental leave.
  • Daily lunches and dinners, retirement plans, and transportation support.
  • Relocation support and visa sponsorship.

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