Machine Learning Engineer 5.5

Adobe

Base: $190,200 -- $345,650 annually; bonus/equity:...
Not specified
Ai/ml-based systems
Ml task framing
Data distribution analysis
Adobe is seeking a highly experienced Staff Software Engineer for their GenStudio Engineering team. The ideal candidate will have a strong background in machine learning, deep learning, and software engineering, with a focus on building scalable AI/ML systems

Job Summary

  • Design, build, test, and maintain AI/ML-based systems and applications that serve as the backbone of scalable, production-ready technology stacks.
  • Analyze trade-offs across cost, latency, and accuracy while ensuring compliance with UX, privacy, legal, and security constraints.
  • Architect scalable ML systems (e.g., multi-agent, recommender, active learning, multi-stage model training, enterprise search) for both offline and online workflows.

Matching Summary

Match Score: 85

Adobe is seeking a highly experienced Staff Software Engineer for their GenStudio Engineering team. The ideal candidate will have a strong background in machine learning, deep learning, and software engineering, with a focus on building scalable AI/ML systems.

Salary

Base: $190,200 -- $345,650 annually; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • AI/ML-based systems
  • ML task framing
  • data distribution analysis
  • dataset organization
  • feature engineering
  • academic research adaptation
  • offline benchmarks and metrics
  • scalable ML systems architecture
  • PyTorch optimization
  • cross-functional collaboration

Nice-to-have

  • technical leadership vision
  • mentoring senior engineers
  • driving innovation
  • evangelizing new technologies
  • building GenAI-first applications
  • industry forum contributions

Key Requirements

  • 10+ years software engineering experience
  • Bachelor's or advanced degree in Computer Science
  • Proficiency in Python and ML/DL frameworks
  • Experience designing scalable AI/ML systems
  • Solid grasp of data engineering concepts
  • Experience with GenAI-first applications

Work Rights

Not specified

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