Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

• Conduct in-depth research on AIOps topics such as log analysis, anomaly detection algorithms, fault prediction algorithms, and root cause analysis.
• Develop and implement novel AIOps algorithms and techniques, leveraging advanced machine learning models and deep learning architectures.
• Evaluate the performance of AIOps algorithms and techniques using rigorous experimental methods and metrics.
• Publish research papers in top-tier conferences and journals, presenting findings to both technical and non-technical audiences.
• Collaborate closely with other researchers, engineers, and product teams to translate research into practical AIOps solutions.

• PhD in Computer Science, Electrical Engineering, or a related field.
• 3-5 years of industry experience in research or development of AI-powered solutions for IT operations.
• Proven expertise in machine learning, artificial intelligence, and data analysis.
• In-depth knowledge of log analysis, anomaly detection, fault prediction, and root cause analysis techniques.
• Familiarity with various machine learning frameworks, including TensorFlow, PyTorch, and scikit-learn.
• Experience with CUDA programming and GPU-accelerated computing for efficient model training and inference.
• Demonstrated ability to optimize framework code for performance and scalability.
• Excellent communication and writing skills, with the ability to explain complex technical concepts to a diverse audience.
• Fluency in English.