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Senior Staff AI Scientist (AI)

226 000 - 306 000$
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 AI Scientist (AI/Probabilistic Forecasting): Building and deploying large-scale probabilistic forecasting models for QuickBooks' cash flow prediction and financial intelligence platform with an accent on multi-horizon time-series modeling, calibration, and production-grade training and inference pipelines. Focus on designing transformer-based forecasting architectures, optimizing latency and throughput, and leading technical strategy across data, product, engineering, risk, and compliance stakeholders.

Location: Mountain View, California, United States

Salary: $226,000–$306,000 annual base pay

Company

hirify.global is a financial technology platform operating products including QuickBooks, TurboTax, Credit Karma, and Mailchimp.

What you will do

  • Design, implement, and train large-scale probabilistic forecasting models for QuickBooks financial intelligence.
  • Build end-to-end data pipelines, ETL processes, and feature engineering workflows for large datasets.
  • Apply data mining, NLP, machine learning, causal learning, online learning, Bayesian learning, reinforcement learning, and deep learning to real-world problems.
  • Lead technical architecture and model implementation for a scrum team while maintaining code, design, cost, and quality standards.
  • Collaborate with product managers, software engineers, designers, risk, and compliance stakeholders to define metrics, experiments, and minimum viable products.
  • Mentor scientists and engineers and communicate AI strategy and tradeoffs to technical and non-technical leaders.

Requirements

  • 8+ years of applied ML/AI experience delivering scalable, production-grade AI systems.
  • BS, MS, or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or an equivalent field.
  • Hands-on experience with time-series or sequence models for multi-horizon probabilistic forecasting, including transformer-based forecasters or comparable architectures.
  • Strong knowledge of probabilistic forecasting, quantile or distributional loss functions, calibration evaluation, and multi-task objectives.
  • Experience building learned representations at millions-of-entities scale, including cold-start strategies.
  • Experience with production training and inference pipelines, model latency and throughput optimization, and effective communication with technical and non-technical partners.

Culture & Benefits

  • Competitive compensation with performance-based rewards.
  • Potential eligibility for cash bonus, equity rewards, and benefits under applicable plans.
  • Inclusive AI science community focused on innovation and craft excellence.
  • Regular pay comparisons across ethnicity and gender categories to support pay fairness.

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