Adobe is seeking a Senior Machine Learning Engineer to join its Applied Science Data Frameworks team, focusing on building infrastructure for large-scale AI training and inference. The role involves developing tools and platforms for processing vast amounts of data while collaborating with cross-functional teams to enhance system performance
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 competitive salary range with opportunities for equity awards and comprehensive benefits programs.
Matching Summary
Match Score: 85
Adobe is seeking a Senior Machine Learning Engineer to join its Applied Science Data Frameworks team, focusing on building infrastructure for large-scale AI training and inference. The role involves developing tools and platforms for processing vast amounts of data while collaborating with cross-functional teams to enhance system performance.
Salary
Base: $172,500 - $306,625 annually; Equity: Eligible for new hire equity award; Benefits: Comprehensive benefits programs included
Skills & Requirements
Must-have
8+ years distributed systems experience
Python programming skills
PyTorch or TensorFlow framework experience
Distributed computing tools like Ray or Spark
Cloud platform experience AWS or Azure
MLOps CI/CD workflow implementation
Nice-to-have
Multimodal data processing experience
Vector database familiarity
Semantic search system knowledge
Collaborative team environment support
Key Requirements
Master's degree or Ph.D. in Computer Science or related field
Equivalent practical experience to advanced degree
Strong foundation in software engineering principles