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1 день назад

Senior Machine Learning Engineer (Shop Ads)

177 688 - 416 100$
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
Senior Machine Learning Engineer (Shop Ads): Building scalable machine learning systems and advanced models for ad ranking, click-through and conversion prediction, format selection, and user journey optimization with an accent on advertising relevance, model accuracy, and large-scale data processing. Focus on developing new features, experimenting with causal machine learning approaches, and improving shopping experiences through cross-functional collaboration.

Location: Los Angeles R&D; fully in-person schedule up to 5 days a week

Salary: $177,688–$416,100 annually, plus potential discretionary bonuses, incentives, and restricted stock units.

Company

hirify.global USDS Joint Venture operates hirify.global's U.S. platform under data privacy, cybersecurity, and national security safeguards.

What you will do

  • Build scalable machine learning systems and advanced models for shop ad ranking quality.
  • Develop click-through rate and conversion rate prediction, intelligent format selection, and user journey optimization.
  • Explore and experiment with new features to improve model accuracy.
  • Apply machine learning to improve ad relevance, quality, and delivery.
  • Collaborate with product managers, designers, global counterparts, and other disciplines on shopping experiences.

Requirements

  • Proficiency in Python and SQL, with experience in data manipulation.
  • Experience with Hadoop, Spark, distributed computing, and large-scale data mining.
  • Strong understanding of machine learning and deep learning, including feature engineering, model evaluation, and optimization.
  • Strong analytical and problem-solving skills with complex and unstructured datasets.
  • 5+ years of experience as a machine learning engineer or data scientist.
  • Excellent communication and cross-functional collaboration skills.

Nice to have

  • Master's or advanced degree in Computer Science, Data Science, Statistics, or a related field.
  • Experience with causal machine learning, user growth, marketing, recommendation, or advertising algorithms.

Culture & Benefits

  • Medical, dental, and vision insurance from day one.
  • 401(k) savings plan with company match.
  • Paid parental leave, disability coverage, life insurance, and wellbeing benefits.
  • 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
  • Inclusive workplace with reasonable accommodations available during recruitment.

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