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Senior Principal AI/ML Developer

178 875 - 320 650$
Формат работы
remote (только USA)
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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TL;DR
Senior Principal AI/ML Developer (Machine Learning/eCommerce): Building scalable end-to-end ML pipelines and personalization models for Autodesk’s B2C eCommerce platforms with an accent on recommendation systems, experimentation, and data-driven customer insights. Focus on developing and deploying machine learning models, designing rigorous A/B testing frameworks, and guiding complex strategic initiatives across teams.

Location: Remote in California, USA

Salary: $178,875–$320,650 base salary per year

Company

hirify.global develops software that helps innovators design and create buildings, products, factories, and media.

What you will do

  • Develop and train machine learning models and algorithms for personalized hirify.global B2C eCommerce experiences.
  • Design, prototype, and build scalable end-to-end ML pipelines for personalization at scale.
  • Develop experimentation frameworks that support rapid iteration and rigorous evaluation of personalization models.
  • Drive data-informed work across segmentation, recommendation systems, forecasting, product analytics, churn prediction, and insights.
  • Partner with senior cross-functional leaders on complex strategic projects and business decisions.
  • Mentor junior data scientists and machine learning developers through technical planning, reviews, and implementation.

Requirements

  • Bachelor’s degree in data science, statistics, computer science, or a related technical field.
  • 10 years of experience leading technical project strategy, ML design, and industry-scale ML infrastructure optimization.
  • 7 years of experience with software product design, architecture, testing, and launches.
  • 10+ years of hands-on experience with data mining and information retrieval.
  • Experience with A/B testing and experimental design, plus strong knowledge of statistics, probability, and financial modeling.
  • Ability to translate data insights into business impact.

Nice to have

  • MS or PhD in a quantitative discipline.
  • 15+ years of experience designing, developing, and deploying machine learning systems, ideally in eCommerce.
  • Hands-on experience with AWS or Azure machine learning platforms and MLOps best practices.

Culture & Benefits

  • Work within the GET Applied AI organization on data-driven digital and eCommerce experiences.
  • Health and financial benefits, time away, and wellness programs are available for U.S.-based employees.
  • Compensation may also include annual cash bonuses, stock grants, and comprehensive benefits.
  • In-person onboarding or identity verification may be required.

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