Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$250к-300к/год
$180к$210кмедиана$240к
По похожим ролям (48) ~ $210к/год
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Чётко описанная роль с заметным влиянием на бизнес в быстрорастущей AI-инфраструктурной компании даёт сильные карьерные возможности, но требует глубокой экспертизы и готовности стать первым специалистом в функции.
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Выше рынкаИнфраструктура ИИФункция с нуляСовременный стекВысокий порог опыта
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (AI) (Pricing and Capacity Optimization): Building quantitative models for AI infrastructure pricing, capacity allocation, and supply-demand optimization with an accent on operations research, economics, and production-quality modeling. Focus on designing dynamic pricing, optimizing GPU and capacity commitments, and running experiments and causal studies across customer segments, models, and products.
Location: San Mateo, United States; hybrid
Salary: $250,000–$300,000 per year
Company
Fireworks AI provides infrastructure for building, training, and serving specialized AI models across text, image, embedding, audio, and multimodal workloads.
What you will do
Build fill-rate models for serverless inference while balancing utilization, performance, and latency targets.
Model traffic sharing and multiplexing across models and customers to establish safe capacity buffers.
Design pricing for low-utilization capacity, including spot and preemptible offerings, off-peak windows, overnight windows, and sub-scale capacity pools.
Develop pricing policies that optimize capacity utilization and price-yield.
Design and execute experiments and causal studies to estimate elasticity across customer segments, models, and products.
Optimize model-hardware matching and capacity sourcing across GPU generations, vendors, clouds, regions, commitment types, and contract terms.
Requirements
Master’s degree in Operations Research, Economics, Industrial Engineering, Statistics, or a related quantitative field, with 7+ years of hands-on experience in pricing, revenue management, or optimization; PhD preferred.
Strong grounding in at least two of stochastic optimization, revenue management and pricing, causal inference and experimental design, or combinatorial optimization.
Track record of delivering production-quality models with direct business impact.
Strong coding skills and experience with optimization tooling and methodologies.
Ability to communicate tradeoffs and uncertainty clearly to engineers and executives.
Nice to have
Experience on capacity planning, forecasting, or pricing science teams at a cloud computing provider or marketplace business.
Familiarity with GPU infrastructure and LLM inference economics, including throughput, batching, utilization, and cost per token.
Experience as the first quantitative hire in a new function, building models and data pipelines from scratch.
Culture & Benefits
Work on AI infrastructure challenges including low-latency inference and scalable model serving.
Collaborate with engineers and AI researchers on technology used by businesses and developers.
Operate in a fast-growing environment emphasizing ownership, direct impact, curiosity, and innovation.
Fireworks AI is an equal-opportunity employer committed to an inclusive environment.
Hiring process
No specific selection stages or application actions are provided in the posting.
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