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ΠŸΠΎΡΠΌΠΎΡ‚Ρ€Π΅Ρ‚ΡŒ ΠΏΠΎΡ…ΠΎΠΆΠΈΠ΅ вакансии ↓
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2 часа Π½Π°Π·Π°Π΄

Senior Software Engineer (Machine Learning)

168Β 917 - 234Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US

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TL;DR
Senior Software Engineer (Machine Learning): Building machine learning models, real-time clickstream pipelines, and low-latency microservices for Walmart International search, browse, and recommendation systems with an accent on model serving, data engineering, and search relevance. Focus on designing large-scale A/B tests, automating model training and deployment, and optimizing batch and streaming data pipelines.

Location: 1375 Crossman Avenue, Sunnyvale, CA 94089, United States

Salary: $168,917–$234,000 per year, plus annual or quarterly performance incentives.

Company

hirify.global is hiring for work supporting Walmart International search, browse, and recommendation functionalities.

What you will do

  • Apply data science and advanced algorithms to improve search, browse, ranking, and recommendation systems.
  • Develop, train, evaluate, and deploy machine learning models for search relevance and recommendations.
  • Build systems to collect, preprocess, and analyze real-time clickstream data.
  • Engineer scalable, low-latency microservices for real-time machine learning model serving.
  • Optimize data pipelines for ingestion, transformation, normalization, and batch and streaming processing.
  • Collaborate with data scientists on model tuning, optimizations, and A/B testing.

Requirements

  • Master's degree or equivalent in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or a related area, plus 1 year of software engineering or related experience; or a bachelor's degree or equivalent in one of these areas, plus 3 years of software engineering or related experience.
  • Experience designing and developing REST API web services for hosting machine learning models.
  • Experience designing, implementing, and validating large-scale A/B tests for new features.
  • Experience designing and developing statistical models for query correction, exploration-exploitation, and regression analysis.
  • Experience developing big data pipelines to gather, aggregate, and interpret website data, and managing databases for signal values computed from backend pipelines.
  • Experience designing and implementing automated systems for training, testing, and deploying machine learning models.
  • Experience developing machine learning models for product ranking and recommendation systems.
  • Experience maintaining, monitoring, and alerting pipelines for production systems.
  • Experience using SQL, Hive, and Spark to interact with databases and big data storage systems.
  • Any amount of graduate coursework, graduate research experience, or professional experience with the required skills may be accepted.

Culture & Benefits

  • Full-time employment with medical, vision, and dental coverage.
  • Financial benefits include 401(k), stock purchase, and company-paid life insurance.
  • Paid time off includes PTO, sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
  • Additional benefits include short- and long-term disability, education assistance including company-paid college degrees, discounts, military service pay, and adoption expense reimbursement.
  • Benefits depend on job classification and length of employment and may be subject to plan terms.