Назад
4 дня назад

Software Engineer (AI Training Infrastructure)

220 000 - 405 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer (AI Training Infrastructure): Building distributed systems for large-scale reinforcement learning and agent evaluation platforms with an accent on reliability, scalability, performance, and experiment interfaces. Focus on orchestrating AI workloads across global-scale compute infrastructure, making experiment results legible to humans and agents, and accelerating model development.

Location: San Francisco, United States

Salary: $220K–$405K USD annually; equity offered. USD salary ranges apply only to U.S.-based positions.

Company

Perplexity builds AI-native products and state-of-the-art models.

What you will do

  • Build distributed systems that orchestrate AI workloads across global-scale compute infrastructure.
  • Develop large-scale reinforcement learning and agent evaluation platforms for training models and optimizing agent harnesses.
  • Define user and agent interfaces for designing, managing, and launching experiments.
  • Create tools that make experiment results legible to humans and agents, supporting experiment retrospectives and closed-loop autoresearch.
  • Solve complex problems at the intersection of AI, distributed systems, and research acceleration.

Requirements

  • 2+ years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance.
  • Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go.
  • Experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes.
  • Familiarity with reinforcement learning, agent evaluation, or machine learning infrastructure.
  • Interest in building systems that accelerate experimentation and model development.
  • BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.

Culture & Benefits

  • Focus on craftsmanship and high-quality products for AI-native and AI-curious users.
  • Ownership of identifying problems, designing solutions, and shipping them.
  • Entrepreneurial environment with urgency and founder-like initiative.
  • Opportunities to learn from talented peers and pursue knowledge and product improvement.
  • Collaborative partnership across teams and disciplines.
  • U.S. full-time employees receive equity, health, dental, vision, retirement, fitness, commuter, and dependent care benefits; international benefits are tailored to the region of residence.

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