AI Infra Optimization Engineer Graduate (TikTok Global E-Commerce Recommendation & Search Architecture) - 2027 Start
Tasks
- Build next generation model infrastructure architectures for production deployment
- Design data and sample construction for generative recommendation
- Develop LLM training and inference techniques for recommendation
- Implement multimodal recommendation foundation models and fine tuning
- Implement reinforcement learning techniques for recommendation
- Integrate lifelong behavior modeling into recommendation models
- Optimize GPU throughput with multi GPU parallelism
- Optimize model performance for recommendation scenarios
- Research and productionize end to end generative recommendation
Perks/Benefits
- N/A
Skills/Tech-stack
C# | C++ | CUDA | Cache optimization | Computation graph partitioning | Cutlass | DeepSpeed | Distributed Training | GPU Architecture | GPU parallelism | Golang | Graph compilation | Graph partitioning | Java | KV cache | KV cache optimization | Megatron-LM | Model Quantization | Multi GPU Parallelism | Multi-GPU | Multimodal Learning | Operator optimization | Prefill Decode | Prefill decode disaggregation | PyTorch | Python | Recommendation Systems | Reinforcement Learning | SGLang | TensorRT | TensorRT-LLM | Triton | VLLM
Roles
AI | AI Infrastructure Engineer | Engineer | Infrastructure Engineer
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