Engineer - ML & RL

The Software-Hardware System Optimization Lab continuously improves the power efficiency and performance of smartphone products through software-hardware systems optimization and architecture innovation. We keep tracking the trends of cutting-edge technologies, building the competitive strength of mobile AI, graphics, multimedia, and software architecture for mobile phone products.

• Design and build scalable infrastructure to support Reinforcement Learning, Online Search, Recommendation Systems, large model fine-tuning and evaluation/deployment.

• Develop efficient ML solutions for Recommendation Systems and RL problems, including Multi-Armed and Contextual Bandit, Tree Search, and Multi-Agent system orchestration.

• Implement and optimize deep learning architectures, including custom Transformers for agentic and decision-making systems.

• Apply search and optimization techniques to efficiently fine-tune RL and ML models.

• Work with large multimodal models (LLMs, VLMs), analyze their components, and fine-tune them for task-specific applications.

• Conduct systematic benchmarking, new papers reading, experimentation, and validation in both simulation and real-world product environments.

• Collaborate closely with research teams to scale online RL training capabilities and improve system robustness and accuracy.

• Explore and integrate emerging AI methodologies and tools into production platforms.