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8 дней назад

Principal Data Scientist (AI)

143 000 - 286 000$
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 Data Scientist (AI) (GenAI/LLM/ML): Leading the development and deployment of AI-driven models, agents, and GenAI applications for merchant, supply chain, and store operations with an accent on agentic frameworks, retrieval, fine-tuning, and production-scale machine learning. Focus on investigating business anomalies, building scalable ML pipelines, and guiding applied scientists and cross-functional teams toward high-impact solutions.

Location: Sunnyvale, California, United States; onsite at 1375 Crossman Ave

Annual salary: $143,000–$286,000 in Sunnyvale; an additional Bellevue, Washington range of $132,000–$264,000 is also listed.

Company

hirify.global supports Walmart’s retail and eCommerce businesses through customer engagement, merchant tools, personalized search, and data-driven technology.

What you will do

  • Lead applied scientists developing AI-driven solutions for retail, merchandising, supply chain, and store operations.
  • Build and ship GenAI applications with agentic frameworks to automate merchant and operator workflows.
  • Design and deploy models and agents that investigate anomalies and identify the causes behind business signals.
  • Research and integrate techniques across LLMs, agents, retrieval, and classical machine learning.
  • Mentor scientists and engineers, establish technical standards, and guide technical development.
  • Partner with product, engineering, and business stakeholders to define high-impact AI solutions.

Requirements

  • 7+ years of Applied Scientist or MLE experience, including shipping production ML models in high-scale environments.
  • Strong foundations in supervised learning, deep learning, time series, causal analysis, and root-cause analysis.
  • Hands-on experience with LLMs, fine-tuning, evaluations, and agent orchestration.
  • Production-grade Python, distributed systems, ML pipelines, CI/CD for ML, and model monitoring.
  • Experience with large-scale data systems such as Spark and Hive and cloud platforms including GCP or Azure.
  • Bachelor’s degree with 5 years of relevant experience, master’s degree with 3 years, or 7 years of relevant experience.

Nice to have

  • Experience with data science, optimization models, or a PhD in a related field.
  • Publications or active peer review experience in relevant journals or conferences.
  • Experience with Python, Spark, Scala, R, scikit-learn, TensorFlow, or Torch.
  • Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.

Culture & Benefits

  • Medical, vision, and dental coverage.
  • 401(k), stock purchase plan, company-paid life insurance, and possible stock awards.
  • Paid time off, sick leave, parental leave, family care leave, and other leave programs.
  • Performance-based bonuses and additional compensation opportunities.
  • Walmart-paid education benefits covering tuition, books, and fees for eligible programs.
  • Disability coverage, company discounts, military leave pay, and adoption and surrogacy reimbursement.

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