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6 дней назад

Staff AI Scientist (AI)

209 500 - 283 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
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): Applying AI science across a consumer financial technology organization by designing end-to-end model architectures, ML pipelines, and customer-facing solutions with an accent on NLP, optimization, explainable AI, and large-scale data processing. Focus on leading scrum teams, engineering scalable models, running A/B tests, translating model metrics into business outcomes, and mentoring AI Scientists.

Location: Mountain View, California, United States

Base pay: $209,500–$283,500 per year; the package may also include a cash bonus, equity rewards, and benefits.

Company

hirify.global is a global financial technology platform serving approximately 100 million customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Define success criteria with stakeholders and align model metrics with business goals.
  • Lead scrum teams, design model solutions, and drive end-to-end architecture.
  • Perform data analysis, ETL, and feature engineering on large datasets.
  • Apply data mining, NLP, machine learning, classification, regression, deep learning, and recommender systems to customer-facing problems.
  • Design and run A/B tests, communicate impact to leadership, and evaluate new ML techniques.
  • Mentor AI Scientists and provide technical direction.

Requirements

  • BS, MS, or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related quantitative field.
  • 4+ years of industry experience in AI Science, Machine Learning, or a related field.
  • Strong experience with combinatorial, gradient-based, and Bayesian optimization, NLP, and Explainable AI.
  • Proficiency in Python, Scala, Java, and/or R.
  • Strong SQL, Hive, SparkSQL skills and comfort working in Linux environments.
  • Experience building reusable, scalable, end-to-end ML pipelines, with strong communication and technical leadership skills.

Culture & Benefits

  • Hands-on technical leadership with collaboration across product management, engineering, and design.
  • Compensation includes performance-based rewards and may include a cash bonus, equity rewards, and benefits.
  • Regular pay comparisons are conducted across ethnicity and gender categories to support fair pay.

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