Model Development Engineer - Global Future Leaders

This role is part of Lenovo's Global Future Leaders Program which engages high-achieving, driven students by immersing them into the world of a global technology powerhouse. In your first three years, you will participate in a cross-border/cross-organization rotation to engage with key stakeholders, gain deep insight into our organization, and develop comprehensive leadership skills while making a global impact. Our goal is to fast-track you to leadership by year five. We are looking for innovative thinkers and risk-takers who are passionate about technology and want to improve our audience's lives in unexpected ways. Start Strong and Lead Early. Join Lenovo's Global Future Leaders Program.

In this Global Future Leader Role, you will be part of our Advanced AI Technical Center (AAITC) leading a small prototyping team, which will build and test various AI applications across Lenovo's business units. Working closely with product teams, business units, and developers, you will provide clear model insights, prototype records, and paths for further development. You will accelerate validation by transforming model concepts into business-ready prototypes efficiently.

Role Requirements

• Ph.D. in Computer Science, Artificial Intelligence, or a related field
• Programming skills in Python and experience with deep learning frameworks like PyTorch.
• Machine learning principles, including supervised learning, unsupervised learning, and reinforcement learning.
• Familiarity with large language models, transformer architectures, and related concepts.
• Experience with data processing tools and techniques.
• Experience working with Android, Windows and Linux systems
• Communication, collaboration, and problem-solving skills

• Passion for technology
• Excellent communication and interpersonal skills
• Ability to work in a global team environment
• Ability to think strategically but have exceptional attention to detail.
• Excellent organizational and project management skills
• Strong analytical and quantitative capability
• Strong Excel, Word, and PowerPoint skills.
• Flexibility to travel as needed (10-20%)
• Technical skills (programming, ME/EE)
• Preferred experience through relevant internships (or FT) in the technology sector
• Technical degrees in (CES, ME/EE), master's degree or MBA are also preferred.
• Leadership experience in school, work, internship and/or community