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Algorithm Engineer

Who We Are

Midea AI Research Center stands as a proud member of Midea's global R&D network. We are a team of passionate innovators, relentlessly pushing the boundaries of artificial intelligence to craft solutions that redefine the future of smart homes, industrial robotics, and commercial applications.

Our relentless pursuit of cutting-edge AI research focuses on four key areas: Computer Vision, Speech Recognition, Natural Language Understanding, Robotics and Navigation, Data Science and Analytics.

 

The Role

We are looking for a recent graduate or early-career professional for the role of Algorithm Engineer who thrives on Large Language Models (LLMs). You will play a pivotal role in redefining smart homes with advancing the cutting edge of AI research and innovation.

 

What You'll Do

  • Research and enhance LLM algorithms, including pretraining, fine-tuning, prompting, and RLHF.
  • Design experiments to optimize model performance, efficiency, and scalability.
  • Develop innovative techniques for specific focus areas (e.g., reasoning, multimodality, domain adaptation).
  • Implement distributed training frameworks (e.g., DeepSpeed, Megatron-LM).
  • Collaborate on deploying LLM solutions into production systems.
  • Stay updated on state-of-the-art (SOTA) research by attending paper readings and replicating key experiments.
  • Contribute to patents and publications in top venues (NeurIPS, ACL, etc.).

What You Bring

  • Pursuing or holding an MS/PhD in Computer Science, Machine Learning, NLP, or a related field.
  • Strong foundational knowledge: Transformers, PyTorch/TensorFlow, and distributed systems.
  • Proficient coding skills in Python and a GitHub portfolio showcasing ML projects.
  • Hands-on experience with LLM frameworks (e.g., HuggingFace, LangChain).
  • Familiarity with LLM toolchains: quantization, LoRA, vector databases, and evaluation metrics.
  • Self-motivated with a research-to-production mindset.

Why Midea

  • A Clobal Career Path
  • Challenging and Rewarding
  • From innovation to impact, for yourself and the company