6 дней назад
Senior/Staff Applied AI Researcher, Growth (AI)
213 000 - 285 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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