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2 дня 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 and leading scalable, production-grade ML systems for AI-driven pricing solutions with an accent on data science, causal inference, optimization, and end-to-end ML lifecycle management. Focus on building MLOps capabilities, applying deep learning, NLP, reinforcement learning, and multimodal modeling, and driving technical strategy across engineering teams.

Location: Onsite at the Crossman Integrity Building, Sunnyvale, California, United States

Salary: $169,000–$338,000 annually, plus performance-based bonuses and potential stock compensation.

Company

hirify.global develops AI-driven advertising and retail technologies that support pricing effectiveness, operational efficiency, and customer experiences at scale.

What you will do

  • Architect and guide scalable, production-grade machine learning systems for customer-facing and operational products.
  • Translate complex business challenges into technical strategies, platform requirements, and measurable success metrics.
  • Lead the full ML lifecycle, including data sourcing, feature engineering, model training, deployment, and monitoring.
  • Advance MLOps practices such as CI/CD pipelines, model versioning, drift detection, and performance telemetry.
  • Drive applied ML innovation across deep learning, NLP, reinforcement learning, and multimodal modeling.
  • Mentor engineers, influence architecture, and collaborate across teams to ensure scalable platform alignment.

Requirements

  • Extensive experience architecting scalable, production-grade machine learning systems and platforms.
  • Proficiency with TensorFlow, PyTorch, Scikit-learn, Python, SQL, and Java.
  • Strong expertise in feature engineering, model training, deployment, monitoring, hyperparameter optimization, and model validation.
  • Deep knowledge of neural networks, deep learning, natural language processing, reinforcement learning, and time series analysis.
  • At least 5 years of relevant experience with a bachelor's degree, or 7 years of relevant experience without the degree requirement, plus 2 years of supervisory experience.
  • Strong technical leadership, mentoring, critical thinking, and technical writing skills.

Nice to have

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

Culture & Benefits

  • Medical, vision, and dental coverage.
  • 401(k), stock purchase options, company-paid life insurance, and potential stock compensation.
  • Paid time off, sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
  • Short- and long-term disability coverage, company discounts, military leave pay, and adoption and surrogacy reimbursement.
  • Walmart-paid education programs covering tuition, books, and fees for eligible full-time and part-time associates.

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