обновлено 10 часов назад
Machine Learning Engineer III (Advertising)
148 500 - 225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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 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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