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Backend Software Engineer, Inference Optimization Specialist

2 months ago

Singapore TIKTOK PTE. LTD. Full time
About the Role

TikTok PTE. LTD. is seeking a highly skilled Backend Software Engineer to join our Trust and Safety R&D team. As a key member of our team, you will be responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform.

Key Responsibilities
  1. Collaborate with business teams to optimize the integration plan for algorithm applications, improving efficiency in evaluating and using algorithm applications across various business scenarios, and reducing the cost of managing and optimizing algorithm applications in different business scenarios.
  2. Design, develop, and performance-tune algorithm applications, solving technical challenges such as high concurrency, high reliability, and high scalability. This includes multiple sub-areas: resource scheduling, task orchestration, model training, model inference, model management, dataset management, workflow orchestration, etc.
  3. Research and introduce cutting-edge engineering technologies related to algorithms.
Requirements

To be successful in this role, you will need:

  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
  • Proficiency in at least one of the following languages in a Linux environment: C/C++, Python, Go.
  • Proficiency in at least one state-of-the-art machine learning framework (e.g., TensorFlow, PyTorch).
  • Strong analytical abilities and problem-solving skills.
Preferred Qualifications

The following qualifications are highly desirable:

  • Familiarity with model optimization algorithms like quantization and pruning.
  • Practical experience in performance optimization/tuning of deep learning model training/inference.
  • Practical experience in CUDA programming and TensorRT.
  • Familiarity with LLM model inference framework like VLLM and TensorRT-LLM.
About Us

TikTok PTE. LTD. is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and so does our workplace. We are passionate about celebrating our diverse voices and creating an environment that reflects the many communities we reach.