TSMC
Overview Of Role
Taiwan Semiconductor Manufacturing Company (TSMC) is seeking applications for skilled Artificial Intelligence (AI) Research Scientists for their Artificial Intelligence for Business Intelligence (AI4BI) Center. Applicants should have graduated with a Ph.D. in the past 1‑2 years in computer science, information systems, statistics, or related AI or machine learning field. The AI4BI Center develops advanced AI‑enabled analytics techniques for business intelligence applications. This role is based in San Jose in a hybrid environment (four days in the office). The position may involve designing and implementing machine learning, deep learning, text mining, large language model, foundation model, network science, time‑series modelling, and reinforcement learning approaches to extract insights from structured and unstructured data sources and to analyze fab tool productivity. It requires close coordination with international research scientists, data engineers, and business stakeholders to gather requirements, oversee development, evaluate outputs, produce internal reports, and co‑author publications at top‑tier AI venues.
Responsibilities
Create and manage advanced machine learning, deep learning, LLM, foundation models, time‑series modelling, and/or reinforcement learning algorithms to develop data‑driven solutions for complex business problems
Analyze and interpret complicated data sets to provide actionable insights that aid in enhancing decision‑making processes for business stakeholders
Work with cross‑functional and international teams to identify and prioritize data‑driven opportunities, including the development and deployment of predictive models to drive business outcomes
Work with teams of senior data scientists, junior data scientists, and data engineers to develop and uphold efficient procedures for gathering, retaining, and scrutinizing data
Consistently assess and refine model performance to ensure precision and dependability
Communicate insights and recommendations via internal reports to technical and non‑technical stakeholders
Design and implement the latest AI, machine learning and data science tools and techniques to enhance existing processes based on feedback and guidance from senior data scientists
Minimum Qualifications
Ph.D. in computer science, information systems, statistics, or related AI or machine learning field in the past 1‑2 years
4‑5 years of AI/ML experience
Proficient in Python, GitHub, and Markdown for data wrangling, pre‑processing, and extraction from structured and unstructured data sources
Strong conceptual and practical knowledge of classical machine learning algorithms learning paradigms, including supervised and unsupervised learning
Strong skills in fundamental deep learning implementation, including data encodings, processing units, and learning paradigms
Proficiency in adapting machine learning or deep learning algorithms based on unique dataset characteristics and business requirements
Strong practical network science skills and experience
Hands‑on experience with text analytics for named entity recognition, sentiment analysis, and topic modelling
Hands‑on research experience with time‑series modeling and forecasting using statistical, machine learning, deep learning‑based, or foundation model approaches
Hands‑on research experience with reinforcement learning approaches, including value‑based, policy‑based, actor‑critic, and multi‑objective methods
Hands‑on research experience in literature review, model design, implementation, evaluation, and publication
Experience with prompt engineering on LLMs and foundation models using techniques such as reinforcement learning (e.g., Direct Preference Optimization, Proximal Policy Optimization), prompt tuning, and others
Knowledge about deploying models into user interface tools for dashboarding (e.g., PowerBI), Python frameworks for rapid prototyping and interaction (e.g., Streamlit, Dash), and/or JavaScript frameworks (e.g., React)
Must be willing to travel to Taiwan for 1–4 weeks each year for training, team building, and project coordination
Preferred Qualifications
Knowledge of processing text in financial, accounting, and market analysis reports
Multi‑lingual text analysis using packages like Stanza, Polyglot, or Textflint
Knowledge of graph embedding techniques such as graph convolutional networks, graph attention networks, and graph transformers using packages such as stellargraph, PyG, or Deep Graph Library
Understanding of neural information retrieval methods, including deep structured semantic models, entity resolution, and retrieval‑augmented generation (RAG)
Familiarity and practical experience with learning paradigms such as adversarial learning, knowledge distillation, and self‑supervised learning
Experience working with foundation models for language (e.g., LLaMA), time (e.g., TimesFM), and other data modalities
Publications in leading AI conferences (e.g., NeurIPS, ICLR, ICML, KDD) and/or journals (e.g., IEEE TKDE, ACM TOIS)
Company Description
The world’s leading dedicated semiconductor foundry
The technology leader with a strong reputation for manufacturing excellence
Advancing semiconductor manufacturing innovations to enable the future of technology
TSMC pioneered the pure‑play foundry business model when it was founded in 1987 and been the world’s leading dedicated semiconductor foundry ever since. The Company supports a thriving ecosystem of global customers and partners with the industry’s leading process technologies and a portfolio of design enablement solutions to unleash innovation for the global semiconductor industry. With global operations spanning Asia, Europe, and North America, TSMC serves as a committed corporate citizen around the world.
Diversity statement TSMC Technology, Inc. is committed to employing a diverse workforce and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, or any other characteristic protected by applicable law.
TSMC is an equal opportunity employer praising diversity and inclusion. We are committed to treating all employees and applicants for employment with respect and dignity. If you require reasonable accommodation due to a disability during the application or recruiting process, please feel free to notify us at
G_Accommodations@tsmc.com . TSMC confirms to all applicants its commitment to meet TSMC’s obligations under applicable employment law. Reasonable accommodations will be determined on a case‑by‑case basis.
Pay Transparency Statement At the time of this posting, this role typically pays a base salary between $150,000 and $230,000 per year. The range displayed reflects the minimum and maximum target for new hires. Actual pay may be more or less than the posted range. Factors that influence pay include the individual's skills, qualifications, education, experience, and the position level and location. TSMC’s total compensation package consists of market competitive pay, allowances, bonuses, and comprehensive benefits. We also offer extensive development opportunities and programs.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Semiconductor Manufacturing
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Responsibilities
Create and manage advanced machine learning, deep learning, LLM, foundation models, time‑series modelling, and/or reinforcement learning algorithms to develop data‑driven solutions for complex business problems
Analyze and interpret complicated data sets to provide actionable insights that aid in enhancing decision‑making processes for business stakeholders
Work with cross‑functional and international teams to identify and prioritize data‑driven opportunities, including the development and deployment of predictive models to drive business outcomes
Work with teams of senior data scientists, junior data scientists, and data engineers to develop and uphold efficient procedures for gathering, retaining, and scrutinizing data
Consistently assess and refine model performance to ensure precision and dependability
Communicate insights and recommendations via internal reports to technical and non‑technical stakeholders
Design and implement the latest AI, machine learning and data science tools and techniques to enhance existing processes based on feedback and guidance from senior data scientists
Minimum Qualifications
Ph.D. in computer science, information systems, statistics, or related AI or machine learning field in the past 1‑2 years
4‑5 years of AI/ML experience
Proficient in Python, GitHub, and Markdown for data wrangling, pre‑processing, and extraction from structured and unstructured data sources
Strong conceptual and practical knowledge of classical machine learning algorithms learning paradigms, including supervised and unsupervised learning
Strong skills in fundamental deep learning implementation, including data encodings, processing units, and learning paradigms
Proficiency in adapting machine learning or deep learning algorithms based on unique dataset characteristics and business requirements
Strong practical network science skills and experience
Hands‑on experience with text analytics for named entity recognition, sentiment analysis, and topic modelling
Hands‑on research experience with time‑series modeling and forecasting using statistical, machine learning, deep learning‑based, or foundation model approaches
Hands‑on research experience with reinforcement learning approaches, including value‑based, policy‑based, actor‑critic, and multi‑objective methods
Hands‑on research experience in literature review, model design, implementation, evaluation, and publication
Experience with prompt engineering on LLMs and foundation models using techniques such as reinforcement learning (e.g., Direct Preference Optimization, Proximal Policy Optimization), prompt tuning, and others
Knowledge about deploying models into user interface tools for dashboarding (e.g., PowerBI), Python frameworks for rapid prototyping and interaction (e.g., Streamlit, Dash), and/or JavaScript frameworks (e.g., React)
Must be willing to travel to Taiwan for 1–4 weeks each year for training, team building, and project coordination
Preferred Qualifications
Knowledge of processing text in financial, accounting, and market analysis reports
Multi‑lingual text analysis using packages like Stanza, Polyglot, or Textflint
Knowledge of graph embedding techniques such as graph convolutional networks, graph attention networks, and graph transformers using packages such as stellargraph, PyG, or Deep Graph Library
Understanding of neural information retrieval methods, including deep structured semantic models, entity resolution, and retrieval‑augmented generation (RAG)
Familiarity and practical experience with learning paradigms such as adversarial learning, knowledge distillation, and self‑supervised learning
Experience working with foundation models for language (e.g., LLaMA), time (e.g., TimesFM), and other data modalities
Publications in leading AI conferences (e.g., NeurIPS, ICLR, ICML, KDD) and/or journals (e.g., IEEE TKDE, ACM TOIS)
Company Description
The world’s leading dedicated semiconductor foundry
The technology leader with a strong reputation for manufacturing excellence
Advancing semiconductor manufacturing innovations to enable the future of technology
TSMC pioneered the pure‑play foundry business model when it was founded in 1987 and been the world’s leading dedicated semiconductor foundry ever since. The Company supports a thriving ecosystem of global customers and partners with the industry’s leading process technologies and a portfolio of design enablement solutions to unleash innovation for the global semiconductor industry. With global operations spanning Asia, Europe, and North America, TSMC serves as a committed corporate citizen around the world.
Diversity statement TSMC Technology, Inc. is committed to employing a diverse workforce and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, or any other characteristic protected by applicable law.
TSMC is an equal opportunity employer praising diversity and inclusion. We are committed to treating all employees and applicants for employment with respect and dignity. If you require reasonable accommodation due to a disability during the application or recruiting process, please feel free to notify us at
G_Accommodations@tsmc.com . TSMC confirms to all applicants its commitment to meet TSMC’s obligations under applicable employment law. Reasonable accommodations will be determined on a case‑by‑case basis.
Pay Transparency Statement At the time of this posting, this role typically pays a base salary between $150,000 and $230,000 per year. The range displayed reflects the minimum and maximum target for new hires. Actual pay may be more or less than the posted range. Factors that influence pay include the individual's skills, qualifications, education, experience, and the position level and location. TSMC’s total compensation package consists of market competitive pay, allowances, bonuses, and comprehensive benefits. We also offer extensive development opportunities and programs.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Semiconductor Manufacturing
#J-18808-Ljbffr