TikTok logo

Tech Lead Manager, AI Platform

TikTok

Why Join Us

At TikTok, creation is at the core of our purpose. Our platform is built to help imaginations thrive, which is especially true for the teams that make TikTok possible. Together, we inspire creativity and bring joy—a mission we all believe in and aim towards achieving every day. Every challenge, no matter how difficult, is an opportunity to learn, innovate, and grow as one team. At TikTok, we create together and grow together, driving impact for ourselves, our company, and the communities we serve.

Team Introduction

The AI Platform team focuses on building advanced end-to-end production pipelines with core technologies including generative AI, intelligent editing, and content understanding. By utilizing AI model training, optimization, deployment, and applications, we provide cutting-edge AI capabilities to empower content creation and consumption on TikTok and serve billions of users.

Responsibilities

  • Lead and manage a team of talented engineers to design, architect, and implement backend systems to apply generative AI models to TikTok products.
  • Develop automation frameworks and champion processes to drive engineering excellence, quality, and efficiency.
  • Collaborate with cross-functional teams to integrate generative AI technology into our user-facing products.
  • Lead technical planning and execution, responsible for the success of technical metrics.
  • Stay close to both academic and industrial advancements in generative AI technologies, consistently bringing in new initiatives for generative AI applications.

Qualifications

  • B.S./M.S./Ph.D. in Computer Science or related fields with at least 5 years of experience in software development.
  • 5+ years of Python/C/C++/Go experience, proficient in at least one programming language and solid software engineering design skills.
  • Experience in large-scale backend systems with deep learning components, familiar with RPC frameworks, experience in dealing with concurrent systems and architectures.
  • At least 1 year of leadership or management experience in leading AI teams, proven track of record of successful AI business deliveries.

Preferred Qualifications

  • Preferring experience in generative model training, tuning, and optimizations, such as model compression, quantization, and distillation for transformer and diffusion models.

Benefits
Extracted with AI

  • Medical insurance
  • Disability insurance
  • 401(k)

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