Staff Software Engineer, AI Platform

LinkedIn is seeking a Staff Software Engineer for their AI Platform team. This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA. The position involves pushing the boundaries of scaling large models, including recommendation models, large language models, and computer vision models. The team is responsible for scaling LinkedIn's AI model training, feature engineering, and serving with hundreds of billions of parameters models and large-scale feature engineering infrastructure for all AI use cases.

Key responsibilities include:

• Owning the technical strategy for broad or complex requirements
• Designing, implementing, and optimizing large-scale distributed serving or training for personalized recommendation and large language models
• Improving system observability and understandability
• Mentoring other engineers and defining the technical culture
• Working closely with the open-source community
• Functioning as the tech-lead for several concurrent key initiatives in AI Infrastructure

The ideal candidate should have:

• Bachelor's Degree in Computer Science or related field, or equivalent experience
• 4+ years of experience in the industry with leading/building deep learning systems
• 4+ years of experience with Java, C++, Python, Go, Rust, C# and/or functional languages
• Hands-on experience developing distributed systems or other large-scale systems

Preferred qualifications include experience with ML applications, LLM serving, GPU serving, search systems, machine learning infrastructure, and distributed data processing engines. The role offers opportunities to work on cutting-edge AI technologies and contribute to open-source projects.

LinkedIn offers a hybrid work environment, allowing flexibility to work from home and commute to a LinkedIn office as needed. The company provides generous health and wellness programs, time off for employees, and is committed to fair and equitable compensation practices.