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3 часа назад

Applied Research Engineer (AI)

200 000 - 320 000$
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
Applied Research Engineer (AI): Building and deploying enterprise AI agents and custom models trained on proprietary customer data with an accent on post-training, reinforcement learning, and real-world evaluation. Focus on designing training environments, developing evaluation frameworks, navigating complex customer architectures, and delivering production systems end-to-end.

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

Salary: $200,000–$320,000 annual base salary, plus equity and benefits.

Company

hirify.global builds continual-learning infrastructure that enables enterprises to train and deploy AI agents on proprietary data and institutional expertise.

What you will do

  • Train and post-train enterprise AI models from environment design through deployment.
  • Own customer engagements end-to-end and work directly with technical and business stakeholders.
  • Analyze unfamiliar customer architectures, data systems, workflows, and requirements.
  • Build and deploy agents that deliver value in customer environments.
  • Translate customer learnings into improvements for general-purpose agents and the platform.
  • Collaborate with research, product, and infrastructure teams on architectures, evaluation frameworks, and best practices.

Requirements

  • Meaningful AI research experience in industry or academia.
  • Ability to work in unfamiliar codebases and train models on messy, real-world data.
  • Strong problem-solving skills in ambiguous and rapidly changing environments.
  • Ability to work directly with customers by listening, empathizing, and understanding organizational workflows.
  • Ownership mindset with the ability to deliver problems and engagements end-to-end.
  • Willingness to work on-site from the San Francisco office.

Nice to have

  • Experience training or fine-tuning language models in production.
  • Experience building reinforcement-learning environments, evaluation frameworks, or agent systems.
  • Founder or early-engineer experience at a zero-to-one company.
  • Side projects, open-source contributions, or published technical work.
  • Experience in forward-deployed or customer-facing engineering environments.

Culture & Benefits

  • Work at the intersection of applied AI product development, research, and customer delivery.
  • 100% employer-paid health insurance.
  • Unlimited paid time off and paid parental leave.
  • Daily lunches and dinners.
  • Transportation and relocation support.
  • Retirement plans, competitive compensation, and equity.
  • Visa sponsorship is available.

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