Job Description

Position Overview

• Location Type: Remote
• Employment Type: Full Time
• Salary: Not specified

Adobe is a company dedicated to changing the world through digital experiences. We empower individuals and businesses to create and deliver exceptional digital content across various platforms. We are committed to creating an inclusive and equitable workplace where everyone is respected and has equal opportunities.

About Adobe Advertising Cloud - Spend Optimizer

The Spend Optimizer group within Adobe Advertising focuses on helping customers plan, buy, measure, and optimize their digital media campaigns across channels like CTV, Online Video, Display, Search, Social, and Retail Media Networks. We aim to maximize the impact of advertising budgets by delivering connected and personalized experiences to consumers.

The Opportunity

This role involves leading a team of machine learning engineers to develop and implement algorithms and models that optimize ad spend.

What You’ll Do

• Technical Leadership: Lead and guide a team of skilled machine learning engineers.
• Algorithm Development: Design and implement machine learning algorithms and models.
• Collaboration: Work with multi-functional teams to determine technical requirements.
• Solution Deployment: Develop and deploy scalable machine learning solutions.
• Innovation: Drive innovation through research and experimentation, fostering a culture of new ideas.
• Performance Monitoring: Monitor and evaluate the performance of ML models, making necessary adjustments.

What You Need to Succeed

• Machine Learning Expertise: Outstanding knowledge of machine learning frameworks and tools (e.g., PyTorch, TensorFlow, Scikit-learn) with strong Python programming skills.
• Statistical Foundation: Solid understanding of core machine learning and statistics, including:
  • Bayesian Modeling
  • Time Series Analysis
  • Reinforcement Learning
  • Optimization