9 hours ago
Chengdu, ChinaEntry Level
Responsibilities
- Develop AI and big data analytics tools, algorithms, and methodologies for manufacturing engineers.
- Translate manufacturing data into meaningful insights to address factory yield and process engineering problems.
- Apply predictive modeling, pattern recognition, machine learning, clustering, dimensionality reduction, anomaly detection, and time series analysis techniques.
- Deliver results across multiple projects in a fast-paced environment.
Requirements
- At least a master’s degree in statistics, machine learning, computer science, or a relevant discipline.
- Experience with data analysis techniques including predictive modeling, pattern recognition, machine learning algorithms, clustering, dimensionality reduction, anomaly detection, and time series analysis.
- Experience with at least one data programming language or scripting tool such as Python, R, or JMP.
- Familiarity with commonly used packages such as NumPy, pandas, scikit-learn, TensorFlow, and PyTorch.
- Strong technical problem-solving, analytical, communication, presentation, time-management, and interpersonal skills.
- Ability to quickly understand complex problems and work effectively as part of a team.
- SQL, Hadoop, Spark, and semiconductor industry experience are preferred.
- Demonstrated ability to deliver results on multiple projects in a fast-paced, agile environment.
Benefits
- On-site work model.
- Primary location in Chengdu, China, with an additional location in Kulim, Malaysia.
- Shift 1 (China).
- College-graduate position.
Tech Stack
Categories
About Intel
Intel is a public semiconductor company that designs and manufactures CPUs and other silicon for PCs, servers, networking, edge, and embedded systems, and also offers foundry services plus AI and graphics accelerators. Founded in 1968 and headquartered in Santa Clara, it sells primarily to OEMs, cloud providers, and device makers worldwide. Its portfolio includes x86 processors (Core and Xeon), Ethernet and chipset products, and the Mobileye autonomous driving platform.