Senior Machine Learning Engineer

AdobeSan Jose, CA

About The Position

As a Senior Machine Learning Engineer at Adobe, you will play a pivotal role in our ambitious journey to redefine digital experiences. This is your chance to work on innovative solutions that will impact billions of users worldwide! Develop and program coordinated software algorithms to structure, analyze, and leverage data in both structured and unstructured environments. Communicate descriptive, diagnostic, predictive, and prescriptive insights/algorithms. Convert algorithms and technical specifications into code using current programming languages and technologies. Perform testing, debugging, and implement efficiencies for flawless execution. Complete documentation and procedures for installation and maintenance. Apply deep learning technologies to enable computers to visualize, learn, and respond to complex situations. Adapt machine learning to virtual reality, augmented reality, artificial intelligence, robotics, and interactive experiences. Work with large-scale computing frameworks, data analysis systems, and modeling environments.

Requirements

  • 7+ years of experience in AI platform build and implementation, ensuring performance, scalability, and reliability.
  • Strong expertise in cloud infrastructure and distributed computing.
  • Outstanding programming skills in languages such as Python, Java, or C++.
  • Proven capability to effectively apply complex algorithms and technical specifications.
  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

Responsibilities

  • Develop and program coordinated software algorithms to structure, analyze, and leverage data in both structured and unstructured environments.
  • Communicate descriptive, diagnostic, predictive, and prescriptive insights/algorithms.
  • Convert algorithms and technical specifications into code using current programming languages and technologies.
  • Perform testing, debugging, and implement efficiencies for flawless execution.
  • Complete documentation and procedures for installation and maintenance.
  • Apply deep learning technologies to enable computers to visualize, learn, and respond to complex situations.
  • Adapt machine learning to virtual reality, augmented reality, artificial intelligence, robotics, and interactive experiences.
  • Work with large-scale computing frameworks, data analysis systems, and modeling environments.

Benefits

  • comprehensive benefits programs
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