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7 дней назад

Principal, Machine Learning Engineer (AI)

169 000 - 338 000$
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

Текст:
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TL;DR
Principal, Machine Learning Engineer (AI): Architecting scalable, production-grade machine learning systems and end-to-end ML pipelines for personalized customer experiences across Walmart International sites with an accent on deep learning, NLP, reinforcement learning, and multimodal modeling. Focus on designing resilient cloud-native platforms, establishing model evaluation and responsible AI standards, and mentoring engineers through complex deployment and monitoring challenges.

Location: Sunnyvale, California, United States

Salary: $169,000–$338,000 per year, plus performance-based bonuses and possible stock compensation.

Company

hirify.global develops technology and personalized experiences across Walmart’s international digital platforms.

What you will do

  • Architect scalable, production-grade machine learning systems for customer-facing and operational products.
  • Lead the full ML lifecycle, including data sourcing, feature engineering, model training, deployment, and monitoring.
  • Apply advanced modeling approaches such as deep learning, NLP, reinforcement learning, time series analysis, and multimodal modeling.
  • Guide architectural decisions, mentor engineering teams, and promote technical excellence.
  • Collaborate with cross-functional teams to integrate ML solutions with platform strategies and downstream applications.
  • Define standards for model evaluation, fairness, responsible AI compliance, and technical knowledge sharing.

Requirements

  • Extensive experience designing and architecting scalable production-grade machine learning systems.
  • Experience with TensorFlow, PyTorch, Scikit-learn, Python, Java, and SQL.
  • Expertise in end-to-end ML lifecycle management, MLOps, model validation, and hyperparameter optimization.
  • Advanced knowledge of deep learning, NLP, reinforcement learning, and time series analysis.
  • Bachelor’s degree in a relevant field plus 5 years of related experience, or 7 years of related experience without the degree requirement.
  • At least 2 years of supervisory experience, with strong technical writing and critical-thinking skills.

Nice to have

  • Master’s degree in computer science, computer engineering, software engineering, or a related field.
  • Experience with accessibility best practices, inclusive digital experiences, WCAG 2.2 AA, and assistive technologies.

Culture & Benefits

  • Health coverage including medical, vision, and dental insurance.
  • 401(k), stock purchase opportunities, company-paid life insurance, and performance-based bonuses.
  • Paid time off, sick leave, parental leave, family care leave, bereavement leave, and other leave programs.
  • Disability coverage, employee discounts, military leave pay, and adoption and surrogacy reimbursement.
  • Walmart-paid education benefits covering tuition, books, and fees for eligible programs.

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