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Company
Taiwan Semiconductor Manufacturing Company Limited, TSMC
Location
Taiwan
Job Category
Corporate Planning
Job Type
Engineer / Admin
Employment Type
Regular
Posted
Aug 03, 2023
Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. In 2023, the company served 528 customers with 11,895 products for high performance computing, smartphones, IoT, automotive, and consumer electronics, and is the world’s largest provider of logic ICs with annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and its ESMC subsidiary plans to begin construction on a fab in Germany in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade.
Job Responsibilities
Ideal candidates would have either a Master’s degree or a Ph.D. in computer science, information systems, information science or related fields. The responsibilities of this role include developing machine learning, deep learning, text mining, and/or network science-based approaches to extract insights from structured (transactional) and unstructured data sources.
Job Qualifications
Minimum Technical Qualifications:

1. Excellent knowledge of Python (with Jupyter, PyCharm, or similar environment), GitHub, and Markdown.
2. Extensive experience with data wrangling, data pre-processing (e.g., de-duplication, imputation), and data extraction from structured and unstructured (e.g., social media) data sources with tools such as Pandas or SideTable.
3. Experience in developing classical machine learning (supervised or unsupervised) algorithm pipelines, including data annotation, feature extraction/weighting, model selection and tuning, and model evaluation using tools such as scikit-learn.
4. Strong knowledge of fundamental statistical principles, including basic knowledge of probability, probability distributions, relationships between variables, hypothesis testing, and statistical significance.
5. Experience with executing network science, including network construction, centrality measures, and community detection using packages such as networkX or iGraph.
6. Experience with text analytics (e.g., named entity recognition, parts of speech tagging, parsing, coreference resolution, topic modelling, sentiment analysis) and text graphs using packages (e.g., NLTK, Spacy, or Gensim).
7. Fundamental and hands-on implementation knowledge of deep learning, including constructing data encodings (graph, tree, grid, sequence), basic processing units (e.g., ANN, RNN, CNN, GNN), model extensions (e.g., attention mechanisms, highway), learning paradigms (supervised, unsupervised, adversarial), and learning strategy and implementation (optimization, regularization, gradient descent, dropout) using packages such as Keras, PyTorch, or TensorFlow.
8. Front-end/UI development and deployment using serverless technologies such as Streamlit and Netlify is a plus.

Diversity, Equity and Inclusion (DE&I) reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to DE&I allows us to create an environment where every employee, regardless of gender, age, disability, religion, race, ethnicity, nationality, political affiliation, or sexual orientation, can bring their unique perspective and experiences to work, enabling us to drive profitability, increase productivity, and unleash innovation. To strive to create a workplace that is equitable and accessible to all employees, we also provide reasonable accommodations for qualified individuals with disabilities. We are committed to fostering an inclusive culture where every employee feels valued and empowered to contribute to our mission and provide excellent service to our global customers.