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3 дня назад

Member of Technical Staff, Digital World Engineer (AI)

170 000 - 400 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
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
Member of Technical Staff, Digital World Engineer (AI): Building full-stack digital worlds and agent environments for training and evaluating AI agents with an accent on stateful simulations, scalable infrastructure, and reinforcement learning integration. Focus on designing thousands of concurrent sandboxed environments, improving rollout performance and reliability, and building reproducible APIs, observability, and recovery systems.

Location: San Jose, United States

Salary: $170,000–$400,000 annually

Company

hirify.global is an artificial intelligence company developing personalized multimodal intelligence and next-generation hardware as a unified interface between humans and machines.

What you will do

  • Build full-stack agent environments and simulations across frontend interfaces, backend services, APIs, data models, tools, and realistic workflows.
  • Develop agent gym infrastructure for orchestration, sandboxing, packaging, benchmarking, and execution across heterogeneous targets.
  • Create interconnected, stateful simulations spanning websites, applications, and digital artifacts with dynamic content and events.
  • Partner with researchers to integrate environments into reinforcement learning training and evaluation pipelines.
  • Build systems for thousands of concurrent sandboxed environments, including isolation, snapshots, resets, recovery, and reproducibility.
  • Improve scheduling, resource utilization, throughput, observability, debugging, and failure diagnosis for large-scale rollouts.

Requirements

  • Strong full-stack engineering skills across frontend interfaces, backend services, APIs, and data models.
  • Experience with stateful backend or distributed systems, including databases, queues, caching, concurrency, consistency, and failure recovery.
  • Strong algorithms and systems fundamentals, including workload profiling, bottleneck analysis, and performance validation.
  • Ability to design reusable APIs and abstractions for complex environments.
  • Careful debugging and testing practices focused on application fidelity, state transitions, reproducibility, and failure handling.
  • Creativity, ownership, and the ability to collaborate with researchers on software simulations and agent or reinforcement learning systems.

Nice to have

  • Experience with reinforcement learning rollout systems, agent training pipelines, or evaluation harnesses.
  • Experience with containers, virtual machines, sandbox runtimes, or orchestration systems for distributed workloads.
  • Experience with browser automation, computer-use agents, simulation frameworks, or event-driven dynamic systems.

Culture & Benefits

  • Full-time position with a US base salary range of $170,000–$400,000 annually.
  • Total compensation may include additional components and benefits depending on the role.
  • Work focuses on close collaboration between engineering and research.

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