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2 часа назад

Platform Research Engineer (AI/ML)

200 000 - 335 000$
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
Platform Research Engineer (AI/ML): Building continual learning infrastructure, trace mining systems, synthetic environments, evaluations, and reinforcement learning capabilities for enterprise agent workforces with an accent on production research and multi-agent systems. Focus on designing self-distillation algorithms, developing coding agents and evaluation frameworks, and translating customer deployment learnings into generalizable platform features.

Location: On-site in San Francisco, California, United States

Salary: $200,000–$335,000 annual base salary, plus equity and benefits.

Company

hirify.global builds continual learning infrastructure that helps enterprises train proprietary-data agent workforces, evaluate models, and deploy agents that improve with use.

What you will do

  • Build and improve hinting primitives, algorithms, and systems for online self-distillation and continuous learning from production traces.
  • Develop trace search, trace mining, data labeling, synthetic environment, and evaluation systems that support the continual learning loop.
  • Research multi-agent system architectures, including agent coordination and trade-offs between different approaches.
  • Build coding agents that automatically create delivery agents and hill-climbing harnesses.
  • Translate customer deployment and applied research learnings into generalizable platform features.
  • Collaborate with AI product engineers to integrate ML capabilities into polished platform experiences.

Requirements

  • Strong software engineering fundamentals combined with deep ML and AI knowledge.
  • Production research experience, including training models for production deliveries and publishing in conferences, blogs, or reports.
  • Strong experimental design skills and a rigorous approach to running experiments.
  • Ability to manage complexity across multiple workstreams.
  • Ability to read research papers and translate prototypes into shippable engineering.
  • Ability to work on-site from the San Francisco office.

Nice to have

  • Experience with reinforcement learning, continual learning, or distillation.
  • Experience building evaluation frameworks, benchmarks, or data quality systems.
  • Experience with multi-agent system architectures and their trade-offs.
  • Published work or open-source contributions in AI/ML systems.
  • Experience as a founder or early engineer at a zero-to-one company.

Culture & Benefits

  • Product-led, research-enabled, and forward-deployed work with enterprise customers.
  • 100% employer-paid health insurance.
  • Unlimited PTO and paid parental leave.
  • Daily lunches and dinners, transportation support, and retirement plans.
  • Equity and relocation support.
  • Visa sponsorship is available.

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