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Высокая зарплатаСовременный стекЧеткие обязанностиПродуктовая компания
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Applied AI Engineer (AI): Designing and building cutting-edge agents and context-layer applications for Perplexity Computer with an accent on LLM personalization, retrieval, ranking, and recommendations. Focus on owning the full model lifecycle, building research and evaluation harnesses, and running offline and online experiments to improve user-facing AI products.
Location: San Francisco, New York City, or Palo Alto, United States
Salary: $220,000–$405,000 USD per year, plus equity. Listed salary ranges apply to U.S.-based positions; international salaries are set according to the local market.
Company
Perplexity develops AI-powered products and frontier agent capabilities for millions of users worldwide.
What you will do
Design, build, and iterate on agents powering Perplexity Computer.
Apply machine learning and large language model techniques to personalization, memory, context summarization, retrieval, ranking, recommendations, and monetization applications.
Build automated research harnesses for offline and online techniques, experiments, and quality and impact metrics.
Own the model lifecycle from data analysis and modeling through evaluation, A/B testing, production, monitoring, and iterative improvement.
Build autonomous harnesses that enable agent squads to explore different problem spaces.
Collaborate with engineers, product managers, data scientists, and designers to improve the product through AI.
Requirements
5+ years of experience building and shipping robust AI products for large-scale, user-facing, or data-driven products.
Strong software engineering skills in Python and experience working with production-quality codebases.
Experience with the full AI lifecycle, including data analysis, rigorous evaluation, and ongoing monitoring and improvement.
Experience using agentic coding tools for large-scale parallel development.
Strong collaboration and communication skills in high-velocity, cross-functional teams.
BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
Nice to have
Experience with LLM context engineering or harness engineering.
Experience with mid-training or post-training of frontier open-source models.
Experience with large-scale user-centric and content-centric personalization, including user modeling, retrieval, and content ranking.
Culture & Benefits
Work on mission-critical AI systems serving millions of users.
U.S. full-time employees receive equity, health, dental, vision, retirement, fitness, commuter, and dependent care benefits.
Full-time employees outside the U.S. receive benefits tailored to their region of residence.
International compensation is determined according to the local market and candidate experience and expertise.
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