Senior Machine Learning Engineer

AdobeSan Jose, CA
3d

About The Position

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Senior Machine Learning Engineer Adobe is seeking a Senior Machine Learning Engineer to join our outstanding team in San Jose, CA. This is an outstanding opportunity to work with a world-class company and help develop the future of digital experiences. You will be part of an ambitious team that values creativity, collaboration, and flawless execution.

Requirements

  • 7+ yrs 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.
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