2 часа назад
Senior Machine Learning Engineer (AI)
143 000 - 286 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (AI): Designing, deploying, and operating scalable machine learning systems for Walmart’s eCommerce search platform with an accent on NLP, deep learning, MLOps, and secure AI engineering. Focus on building low-latency retrieval and ranking services, optimizing distributed systems, running A/B experiments, and maintaining reliable data and feature pipelines.
Location: Sunnyvale, California, United States
Annual salary: $143,000–$286,000, plus performance-based bonuses and possible stock compensation.
Company
develops advertising and commerce technology supporting Walmart’s global eCommerce platforms, including product search and discovery.
What you will do
- Design, develop, and deploy scalable machine learning models and services for eCommerce search.
- Build query and intent understanding, autocomplete, retrieval, and multi-phase ranking capabilities using NLP and deep learning.
- Develop and maintain data pipelines, APIs, feature pipelines, model components, and search infrastructure.
- Apply MLOps practices including CI/CD, model versioning, monitoring, drift detection, and automated retraining.
- Optimize high-throughput, low-latency distributed services for scalability, fault tolerance, and concurrency.
- Run A/B experiments, evaluate model and business performance, participate in architecture discussions, and mentor engineers.
Requirements
- Bachelor’s degree in a relevant computer science or engineering field plus 3 years of related experience, or 5 years of experience in software engineering, machine learning engineering, AI systems, or a related area.
- Experience designing, developing, and deploying machine learning models with TensorFlow, PyTorch, or Scikit-learn.
- Strong programming skills in Python, SQL, Java, C++, or R, with experience writing production-ready code.
- Experience with MLOps, model evaluation, validation, feature engineering, monitoring, and automated retraining.
- Knowledge of secure and compliant AI engineering, data pipeline development, and collaboration across technical and product teams.
- Ability to mentor engineers and contribute to scalable, maintainable system architecture.
Nice to have
- Master’s degree in computer science, computer engineering, software engineering, or a related field.
- Experience with large language models and GPU optimization.
- Experience with accessibility best practices, WCAG 2.2 AA, assistive technologies, and inclusive digital experiences.
Culture & Benefits
- Medical, vision, and dental coverage.
- 401(k), stock purchase opportunities, company-paid life insurance, and possible stock compensation.
- Paid time off, sick leave, parental leave, family care leave, bereavement leave, jury duty, voting leave, and other leave programs.
- Short- and long-term disability coverage, company discounts, military leave pay, and adoption and surrogacy expense reimbursement.
- Walmart-paid education programs covering tuition, books, and fees for eligible full-time and part-time associates.
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