AI Research Engineer
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$83 billion revenue global technology powerhouse, ranked #153 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).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Description and Requirements
· Lead technical research and experimentation in User World Models, predictive AI, knowledge graphs, and data representations for Personal AI.
· Formulate hypotheses, reproduce relevant research, build baselines and measure improvements in context understanding, prediction quality, grounding and reliability.
· Develop privacy-aware representations of user activities, relationships, preferences, goals, temporal context and cross-device state; account for uncertainty, consent and changing information.
· Explore graph-based, semantic and temporal memory, entity resolution, data fusion, retrieval and reasoning across permitted application and device data.
· Investigate predictive models that anticipate user needs or next actions, with clear confidence thresholds, evaluation and user control.
· Partner with prototype and systems engineers to validate ideas in realistic Qira experiences on Lenovo devices, including proactive and cross-device scenarios.
· Contribute to patents, technical disclosures and, where appropriate, external research publications.
Basic Qualifications
· Bachelor's or Master's degree in Computer Science, AI, ML or a related technical field; PhD or equivalent research experience is a plus.
· 5+ years of relevant AI/ML experience, with strong evidence of hands-on model development or research engineering.
· Deep experience with modern LLM/SLM or multimodal AI systems and frameworks.
· Experience in one or more of user modeling, personalization, predictive modeling, knowledge graphs, information retrieval, LLMs or contextual reasoning.
· Strong Python and software engineering skills; comfortable taking ideas from experiment to working code.
· Ability to reason about model quality, latency, cost, reliability, privacy and real-world constraints.
Preferred Qualifications
· Experience with temporal/heterogeneous knowledge graphs, graph ML, entity linking, probabilistic reasoning or causal/predictive modeling.
· Experience with multimodal context, memory systems, privacy-preserving learning or cross-device data integration.
· Experience with multimodal foundation models, VLMs, speech/audio or vision-language systems.
· Publication, patent or open-source contributions in AI/ML.
Success Measures
· Deliver reproducible research experiments and working prototypes for User World Models, Predictive AI and Knowledge Graph/Data priorities.
· Demonstrate measurable improvements in contextual understanding, prediction usefulness, grounding, reliability or privacy-aware personalization.
· Demonstrate a clear path from promising experiments into advanced development or product adoption.
Key Partnerships
Works closely with the Lead Scientist/Research leadership, AI Systems, Prototype Engineering and global Qira Product/Engineering teams.