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6 дней назад

Senior/Staff Applied AI Researcher, Growth (AI)

213 000 - 285 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Senior/Staff Applied AI Researcher, Growth (AI) (Python, SQL, LLMs): Architecting end-to-end agentic infrastructure for marketing execution and user growth with an accent on multi-agent event streams, autonomous content generation, and cross-platform campaign optimization. Focus on designing scalable service layers, managing LLM failure modes through confidence limits and rollback frameworks, and improving ads delivery efficiency at web scale.

Location: Palo Alto, California, United States

Salary: $213,000–$285,000 USD base salary; bonus and equity may also be provided for eligible roles.

Company

hirify.global is a direct-to-consumer retail company delivering quality apparel, accessories, home goods, and other essentials through a manufacturer-to-consumer model supported by proprietary technology, AI, and analytics.

What you will do

  • Architect and own end-to-end multi-agent event streams and automated systems for brand category scaling.
  • Build scalable service-layer software that integrates large language models and prompt validation tools into real-time operational workflows.
  • Design automated content loops and multimodal asset pipelines for marketing copy, graphics, and video layouts.
  • Build decisioning pipelines that use data matrices to optimize asset deployment across advertising platforms.
  • Establish confidence limits, prompt versioning, fallback, and rollback frameworks for safe LLM operations.
  • Partner with Product Management, Data Science, and Engineering to define catalog schemas and reduce ingestion and data-latency bottlenecks.

Requirements

  • 8+ years of technical experience, including 1–2 years of corporate or industry experience.
  • Expert-level Python and SQL skills, with advanced LLM integration and data serialization experience.
  • Ability to independently solve ambiguous algorithmic and statistical optimization problems.
  • Demonstrated experience shipping production software and measuring data-driven revenue and operational outcomes.
  • Experience collaborating with Data Science, Data Analytics, Machine Learning, Product Management, and Engineering teams.

Nice to have

  • Experience building developer-velocity extensions or generative asset platforms in DTC, retail, or e-commerce.
  • Familiarity with advertising networks, performance marketing data structures, programmatic bidding, or real-time event-driven architectures.
  • Master’s or PhD in computer science, mathematics, statistics, physics, or another highly quantitative field.

Culture & Benefits

  • Mission-driven work focused on making high-quality essentials more accessible and sustainable.
  • Fast-paced environment with an emphasis on challenging conventional thinking and solving difficult problems.
  • Opportunity to take ownership and shape business direction regardless of role or seniority.
  • Bonus and equity may be available for eligible roles.
  • Employment is contingent on successful completion of a background check.

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