Machine Learning Engineer

Adobe Adobe · Enterprise · San Jose, CA

Machine Learning Engineer at Adobe focused on building and implementing AI platforms, with a strong emphasis on large-scale distributed information retrieval systems, including vector and semantic search. The role involves developing algorithms, converting them to code, and ensuring performance, scalability, and reliability in cloud and distributed computing environments.

What you'd actually do

  1. Develop and program coordinated software algorithms to structure, analyze, and leverage data in both structured and unstructured environments.
  2. Communicate descriptive, diagnostic, predictive, and prescriptive insights/algorithms.
  3. Work on large scale distributed Information retrieval systems using the latest best of breed technologies not limited to traditional IR but also include vector and semantic search.
  4. Convert algorithms and technical specifications into code using current programming languages and technologies.
  5. Perform testing, debugging, and implement efficiencies for flawless execution.

Skills

Required

  • Python
  • Java
  • C++
  • cloud infrastructure
  • distributed computing
  • algorithms
  • technical specifications

Nice to have

  • AI platform build and implementation

What the JD emphasized

  • 7+ years of experience in AI platform build and implementation
  • large scale distributed Information retrieval systems
  • vector and semantic search

Other signals

  • large scale distributed Information retrieval systems
  • vector and semantic search
  • AI platform build and implementation