AI Infrastructure Engineer - Recommendation & LLM

TikTok
San Jose, CA
Remote
Job Description
Role Overview

We are looking for experienced Software Engineers / ML Systems Engineers to join our Model Infrastructure team and build the next generation of AI infrastructure powering TikTok's For You recommendation system and Large Language Models (LLMs). Our team develops the core training and serving infrastructure behind one of the world's largest recommendation systems, enabling billions of personalized recommendations every day.

What You Will Do

Design, develop, and optimize large-scale AI training and online inference infrastructure for recommendation models and LLMs. Drive the architecture and implementation of distributed training and serving systems with high scalability, reliability, and efficiency.

Why It Might Be a Fit

This role is ideal for engineers who are passionate about AI systems, distributed computing, GPU optimization, Recommendation, LLMs, and building high-performance infrastructure at massive scale.

Requirements

  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
  • 3+ years of software engineering, ML systems, distributed systems, or related industry experience
  • Strong programming skills in C++ or Python and experience building production-quality software
  • Strong understanding of data structures, algorithms, operating systems, distributed systems, or computer architecture
  • Hands-on experience with PyTorch, TensorFlow, or other machine learning frameworks
  • Experience designing, developing, or optimizing large-scale production systems
  • Strong problem-solving skills and the ability to independently drive complex technical projects

Benefits

  • Competitive salary
  • Equity
  • Health insurance
  • Paid time off
  • Retirement plan
  • Learning budget
  • Parental leave
  • Wellness program
  • Visa/relocation assistance
  • Remote flexibility
  • Stipends
  • Bonus/commission
  • Paid holidays
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