Sr Machine Learning Engineer- Ml Infrastructure & Data Platforms

Adobe

Base: $172,500 - $306,625 annually (us); californi...
8+ years distributed systems experience
Python programming and software engineering
Pytorch or tensorflow framework expertise
This role involves building the infrastructure that powers large-scale, multimodal AI training and inference across billions of data points

Job Summary

  • This role involves building the infrastructure that powers large-scale, multimodal AI training and inference across billions of data points.
  • Candidates will develop distributed data loaders and batch inference systems to support high-volume GPU environments.
  • Adobe offers a collaborative culture where employees are empowered to innovate with AI and make an impact.

Matching Summary

This role involves building the infrastructure that powers large-scale, multimodal AI training and inference across billions of data points.

Salary

Base: $172,500 - $306,625 annually (US); California: $211,800 - $306,625; Washington: $201,000 - $291,150

Skills & Requirements

Must-have

  • 8+ years distributed systems experience
  • Python programming and software engineering
  • PyTorch or TensorFlow framework expertise
  • Ray, Spark, or Dask distributed tools
  • AWS or Azure cloud platform experience
  • MLOps CI/CD and containerization workflows

Nice-to-have

  • Multimodal data processing experience
  • Vector database and semantic search familiarity
  • Collaborative team environment participation

Key Requirements

  • Master's degree or Ph.D. in Computer Science or related field
  • Equivalent practical experience to Master's degree
  • 8+ years of production ML infrastructure experience

Work Rights

Not specified

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