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Senior Staff AI Engineer, AI Algorithm Foundations

LinkedIn is a professional networking platform that connects over a billion members worldwide, enabling them to build professional relationships, learn new skills, and find career opportunities.
$191,000 - $315,000
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS

Description For Senior Staff AI Engineer, AI Algorithm Foundations

LinkedIn's Core AI organization is seeking a Senior Staff AI Engineer to join their AI Algorithm Foundations team, working on transformative artificial intelligence solutions that will shape the future of professional networking. This role represents an exciting opportunity to work at the intersection of cutting-edge AI technology and professional networking at global scale.

The position involves leading the development of next-generation recommender systems built on large language models (LLMs), working within LinkedIn's Core AI organization. You'll be responsible for designing and training state-of-the-art language models, either from scratch or through adaptation of existing models, to enhance LinkedIn's recommendation capabilities.

As a technical leader, you'll drive crucial architectural decisions for foundational model development and deployment, ensuring these systems are scalable, efficient, and robust. You'll work closely with cross-functional teams, including product engineering and infrastructure, to identify and execute on high-impact opportunities that leverage AI to enhance the LinkedIn platform.

The role requires deep expertise in machine learning, particularly in areas such as transformer architectures, reinforcement learning, and model evaluation. You'll be expected to stay at the forefront of LLM research and contribute to the broader research community through publications and presentations.

This is a hybrid position based in Sunnyvale, CA, offering competitive compensation ($191,000 - $315,000) plus benefits. The role combines the opportunity to work on cutting-edge AI technology with the chance to impact over a billion professionals worldwide. You'll be joining a team dedicated to pushing the boundaries of AI technology while maintaining a focus on practical applications that enhance professional networking and career development.

The ideal candidate will bring both technical depth and leadership experience, with the ability to mentor other engineers and drive technical excellence across the team. This role offers the unique opportunity to shape the future of professional networking through innovative AI solutions at one of the world's leading professional networks.

Last updated 13 hours ago

Responsibilities For Senior Staff AI Engineer, AI Algorithm Foundations

  • Lead development of next-generation recommender systems on top of foundational LLMs
  • Design and train large language models from scratch or adapt existing models
  • Drive architectural decisions for foundational model development and deployment
  • Provide technical leadership and mentorship to a team of engineers
  • Collaborate with cross-functional teams to identify high-impact opportunities
  • Stay at the forefront of research in LLMs and contribute to research community
  • Define and execute rigorous evaluation strategies for foundational models

Requirements For Senior Staff AI Engineer, AI Algorithm Foundations

Python
  • 2+ years of experience as a Lead Engineer, Staff Engineer, or Principal Engineer
  • 5+ years of industry experience in AI or Machine Learning
  • BA/BS Degree in Computer Science or related technical discipline
  • Expert-level understanding of deep learning architectures, particularly Transformer models
  • Strong programming skills in Python and relevant deep learning frameworks
  • Strong understanding of reinforcement learning techniques
  • Experience with model evaluation and benchmarking

Benefits For Senior Staff AI Engineer, AI Algorithm Foundations

Medical Insurance
Equity
  • Annual performance bonus
  • Health and wellness programs
  • Generous time off
  • Competitive compensation package
  • Stock options

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