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Machine Learning Engineer 4

Adobe creates digital experience software, empowering everyone from artists to global brands to design and deliver exceptional digital experiences.
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS · Advertising

Job Description

Adobe is seeking a Machine Learning Engineer 4 to join their Advertising Cloud team, specifically within the Spend Optimizer group. This role combines advanced AI expertise with practical business application in digital advertising. The position involves working with reinforcement learning, time series analysis, and bayesian modeling to optimize ad spending for global advertisers. As part of Adobe's mission to transform digital experiences, you'll be developing next-generation solutions for Ad Cloud customers while leading a team of skilled ML engineers. The role requires deep expertise in machine learning frameworks, strong programming skills, and the ability to deploy scalable solutions. With Adobe's strong market position in digital experience software and their commitment to innovation, this role offers an opportunity to impact how global brands deliver personalized advertising experiences. The position demands 10+ years of experience and advanced education, offering the chance to work with cutting-edge AI technology while solving complex business challenges in digital advertising optimization.

Last updated a month ago

Responsibilities For Machine Learning Engineer 4

  • Identify and develop next generation experiences for Ad Cloud customers
  • Be hands on with upcoming AI Technology and guide product roadmap development
  • Technically lead and guide team of skilled machine learning engineers
  • Collaborate with multi-functional teams to determine technical requirements
  • Develop and deploy scalable machine learning solutions
  • Drive innovation through research and experimentation

Requirements For Machine Learning Engineer 4

Python
  • 10+ years of experience in applied Machine Learning
  • PhD or Master's in Computer Science/Applied Math/Statistics/related field
  • Outstanding knowledge of machine learning frameworks (PyTorch, Tensorflow, Scikit-learn)
  • Strong programming skills in Python
  • Solid understanding of core machine learning, statistics and AI
  • Experience in developing, deploying and maintaining ML models in production
  • Strong problem solving skills and ability to learn fast
  • Experience with Digital Ad Technologies (desirable)

Benefits For Machine Learning Engineer 4

  • Equal Employment Opportunity
  • Inclusive work environment
  • Career development through Check-In approach

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