Principal Staff Software Engineer, Ai Training Platform

LINKEDIN

Mountain View, CA, United States
Base: $207,000 to $340,000; bonus/equity: annual p...
Hybrid
Ai model training at scale
Deep learning training solutions
Distributed training optimization
LinkedIn is seeking a Principal Staff Software Engineer for their AI Training Platform in Mountain View, CA. The role focuses on leading the development of scalable deep learning training solutions, requiring extensive experience in software engineering and deep learning systems

Job Summary

  • The AI Training team is responsible for developing and maintaining highly available and scalable deep learning training solutions to power LinkedIn's rapidly growing AI use cases.
  • As a Principal Staff Software Engineer, you will play a crucial role in leading and building the next-gen training infrastructure to power AI use cases.
  • LinkedIn is committed to providing transformational opportunities for its employees by investing in their growth and fostering a culture of trust, care, inclusion, and fun.

Matching Summary

Match Score: 85

LinkedIn is seeking a Principal Staff Software Engineer for their AI Training Platform in Mountain View, CA. The role focuses on leading the development of scalable deep learning training solutions, requiring extensive experience in software engineering and deep learning systems.

Salary

Base: $207,000 to $340,000; Bonus/Equity: annual performance bonus, stock, other applicable incentive compensation plans; Benefits: applicable benefits

Skills & Requirements

Must-have

  • AI model training at scale
  • Deep learning training solutions
  • Distributed training optimization
  • Open source community engagement
  • LLM, GNN, Incremental Learning
  • Containerized pipeline orchestration

Nice-to-have

  • Improving developer productivity
  • Mentoring other engineers
  • Defining technical culture
  • Fast-growing team building

Key Requirements

  • BS/BA in Computer Science or equivalent experience
  • 7+ years software design and development
  • 7+ years object-oriented programming
  • 5+ years architect or technical leadership
  • 5+ years leading deep learning systems
  • 5+ years developing distributed systems

Work Rights

Not specified

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