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Research Scientist Intern - Large-Scale Machine Learning Systems (SysML) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Research and develop large-scale multimodal machine learning systems, including training frameworks, inference engines, and recommendation systems for ByteDance’s AI products.
Large Language Model Inference System Engineer Graduate (Applied Machine Learning) - 2027 Start
Build and optimize inference systems for large language models as part of a Managed AI Service (MaaS), focusing on distributed KV caching, GPU performance tuning, and multi-node heterogeneous inference.
Site Reliability Engineer, Machine Learning Systems - Singapore
Designs and maintains monitoring, disaster recovery, and resource management tools for large-scale ML systems, ensuring stable training, inference, and offline task execution across global data centers and cloud environments.
Machine Learning Engineer Intern (AML-Engine-Orchestration) - 2027 Start
Develops Kubernetes-based orchestration tools for Bytedance’s AI/ML platforms, focusing on multi-tenant resource management, GPU efficiency, and scalable model deployment.
Backend Inference Runtime Engineer Graduate (AML Inference) - 2027 Start
Works on adapting inference engines to GPU/NPU hardware, benchmarking with vLLM/TensorRT-LLM, and optimizing distributed parallel inference solutions—including cache, memory, and latency improvements.
Senior Production Engineer - Applied Machine Learning
Manage production systems for ML training, operate Kubernetes GPU clusters, and build CI/CD pipelines while ensuring reliability, disaster recovery, and observability.
Research Scientist - Large-Scale Machine Learning Systems (SysML) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Develops and scales AI systems for large-scale distributed environments, focusing on multimodal recommendations, hardware efficiency, and model optimization at a global tech company.