Назад
Company hidden
6 дней назад

Staff AI Scientist

209 500 - 283 500$
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

Текст:
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TL;DR
Staff AI Scientist (AI/Machine Learning): Building and deploying analytical and deep learning models for financial technology products with an accent on NLP, causal modeling, optimization, and large-scale data preparation. Focus on leading end-to-end model architecture, designing reusable data-to-output pipelines, running A/B tests, and translating complex AI solutions into customer impact.

Location: Mountain View, California, United States

Base pay: $209,500–$283,500 per year; additional cash bonus, equity rewards, and benefits may apply.

Company

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

What you will do

  • Build and deploy machine learning models using analytical algorithms and deep learning.
  • Lead the technical work of a scrum team, including model solutions, end-to-end architecture, code quality, design, cost, and implementation standards.
  • Analyze large datasets, discover and access data sources, perform ETL, and build model-ready features.
  • Apply data mining, NLP, causal, supervised, unsupervised, online, Bayesian, reinforcement, and deep learning methods to real-world problems.
  • Collaborate with product managers, software engineers, designers, stakeholders, and partners to define success criteria and deliver data science solutions.
  • Design A/B tests, communicate results, and research emerging machine learning technologies.

Requirements

  • 4+ years of industry experience in AI science and 4+ years of hands-on experience with machine learning paradigms.
  • BS, MS, or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or an equivalent field.
  • Proficiency in optimization methods, NLP, Explainable AI, and machine learning frameworks.
  • Experience with Python, Scala, Java, and/or R, plus SQL, Hive, or SparkSQL.
  • Experience building reusable end-to-end pipelines from data acquisition through model output delivery.
  • Strong communication skills, independent working ability, and comfort working in a Linux environment.

Culture & Benefits

  • Collaborative and creative AI science and machine learning environment.
  • Opportunity to build models affecting hundreds of thousands of customers.
  • Competitive compensation with performance-based rewards.
  • Cash bonus, equity rewards, and employee benefits according to applicable plans.

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