5 дней назад
Senior Machine Learning Scientist (Advertising AI)
184 800 - 196 350$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Machine Learning Scientist (Advertising AI): Building intelligent agentic systems and large-scale machine learning platforms for advertising recommendations, bidding, ranking, and personalization with an accent on generative AI, campaign optimization, and scalable deployment. Focus on designing experiments, analyzing advertiser economics and ROI, and integrating advanced research into production machine learning services.
Location: Mountain View, California, United States
Annual base salary: $184,800–$196,350
Company
operates a large online home-shopping marketplace and develops technology for e-commerce and digital advertising.
What you will do
- Provide technical leadership for intelligent agentic systems supporting advertising recommendations and campaign optimization.
- Design, build, deploy, and refine reusable large-scale machine learning platforms for advertising.
- Develop machine learning solutions for commercial problems involving budget allocation, target ROAS, SKU selection, ranking, and personalization.
- Collaborate with product, engineering, infrastructure, and machine learning platform teams to deploy scalable services using engineering best practices.
- Identify insights from data, improve models, evaluate projected ROI, and design experiments with A/B testing and statistical analysis.
- Research developments in advertising, sorting, recommendations, and open-source machine learning packages and incorporate relevant findings into internal systems.
Requirements
- 2+ years of experience with a PhD, 4+ years with an MS, or 6+ years with a BS in a quantitative STEM field.
- At least 2 years of experience developing, evaluating, optimizing, and deploying machine learning models focused on advertising, bidding, recommendations, ranking, or personalization.
- Strong theoretical understanding of agentic systems and large-scale machine learning.
- Proficiency in Python and experience with TensorFlow, PyTorch, or Scikit-Learn.
- Experience with data processing, machine learning pipeline orchestration, scalable coding, and cloud environments such as AWS, GCP, or Azure.
- Ability to explain complex machine learning concepts to non-technical stakeholders and support data-driven decisions.
Nice to have
- Experience with Google Cloud machine learning platforms, including BigQuery, GCS, Dataproc, or AI Notebooks.
- Advertising or e-commerce economics experience.
- Hands-on experience with agentic chat-based products deployed to consumers.
Culture & Benefits
- Work on machine learning products that directly influence advertising performance and company revenue.
- Collaborate across science, product, engineering, infrastructure, and commercial teams.
- Total compensation may include equity, bonuses, commissions, and comprehensive medical and financial benefits.
- supports equal employment opportunities and reasonable accommodations for individuals with disabilities.
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