8 дней назад
Principal Data Scientist (AI)
143 000 - 286 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
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
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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