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Machine Learning Engineer III (Advertising)

148 500 - 225 000$
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

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TL;DR
Machine Learning Engineer III (Advertising): Building and deploying machine-learning and deep-learning solutions for sponsored advertising, including relevance, ranking, click-through prediction, dynamic bidding, and auction algorithms with an accent on large-scale applied science and advertising systems. Focus on leading models from ideation through production, optimizing distributed pipelines, publishing research, and communicating recommendations to technical and business stakeholders.

Location: Bellevue, Washington, United States

Salary: $148,500–$225,000 per year

Company

hirify.global operates an e-commerce platform for pet products and services.

What you will do

  • Develop and deploy machine-learning and data-science solutions for sponsored advertising.
  • Improve ad selection, relevance, ranking, click-through prediction, deal offerings, dynamic bidding, and auction algorithms.
  • Lead models from ideation and experimentation through production delivery.
  • Build solutions for onsite and offsite advertising at hirify.global scale.
  • Publish research in ML, AI, and advertising conferences.
  • Establish modeling standards, mentor junior scientists, and communicate research insights to senior leadership and business stakeholders.

Requirements

  • Advanced degree in Operations Research, Statistics, Applied Mathematics, Data Science, or a related field, or at least three years of relevant experience.
  • Strong ability to apply advanced mathematics and data-science methodologies.
  • Experience building, tuning, optimizing, and evaluating distributed pipelines.
  • Experience with sponsored ads or the advertising domain.
  • Experience with predictive models, time series, regression, linear programming, classification, search, ranking, or large-scale embeddings.
  • Ability to translate complex datasets and research into clear business recommendations.

Nice to have

  • Experience in e-commerce or retail.
  • Prior experience with advertising systems.
  • Experience with AWS ML services such as SageMaker or Personalize.

Culture & Benefits

  • 401(k) and eligibility for new-hire and annual equity grants.
  • Medical, prescription, vision, dental, life, disability, and other insurance plans.
  • Parental leave, family services, backup dependent care, flexible spending accounts, and telemedicine.
  • Unlimited PTO for exempt salary team members, subject to manager approval.
  • Six paid holidays, applicable paid sick and family leave, pet adoption reimbursement, and employee discounts.

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