Data Scientist (5400)

Junior AI, Machine Learning, and Data Scientist for TSMC's Artificial Intelligence for Business Intelligence (AI4BI) Center

Overview of Role

Taiwan Semiconductor Manufacturing Company (TSMC) is seeking applications for skilled junior AI, Machine Learning, and Data Scientists for their Artificial Intelligence for Business Intelligence (AI4BI) Center. Applicants should have graduated with a Ph.D. in the past 1-2 years with a degree in computer science, information systems, information science, statistics, or related AI or machine learning field. The AI4BI Center is a global and international team that seeks to develop advanced AI-enabled analytics techniques to facilitate important business intelligence applications highly relevant to TSMC. This role will be based in our San Jose office in a hybrid working environment (working three days in the office).

Responsibilities

Create and manage advanced machine learning, deep learning, and LLM 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 with senior data scientists, other junior data scientists, and data engineers to develop and uphold efficient procedures for gathering, retaining, and scrutinizing data
Work in teams with data engineers
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, information science, statistics, or related AI or machine learning field in the past 1-2 years
4-5 years of AI/ML experience (including those attained during Ph.D. studies)
Proficient in Python, GitHub, and Markdown for data wrangling, pre-processing, and extraction from structured and unstructured data sources
Strong conceptual and practical knowledge and experience of classical machine learning algorithms and learning paradigms, including supervised learning 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 experience with time series modeling and forecasting with statistical and/or deep learning-based approaches
Experience fine-tuning LLM-based approaches with strategies such as low rank adaptation, few shot learning, and others
Experience with prompt engineering on LLMs with techniques such as reinforcement learning, prompt tuning, and others
Knowledge about deploying models into user interfaces using technologies such as Streamlit, Dash, Tableau, or PowerBI
Must be willing to travel to Taiwan for at least 3 months each year for training, team building, and project coordination

Preferred Qualifications

Knowledge on 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 and graph attention networks using packages such as stellargraph, PyG, or Deep Graph Library
Understanding of neural information retrieval approaches, including deep structured semantic models, entity resolution techniques, and retrieval augmented generation (RAG)
Familiarity and practical experience with learning paradigms such as adversarial learning, knowledge distillation, and self-supervised learning
Publications in leading AI conferences (e.g., NeurIPS, ICLR, ICML, KDD) and/or journals (e.g., IEEE TKDE, ACM TOIS)

Company Description

As a trusted technology and capacity provider, TSMC is driven by the desire to be:

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 has 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.

Pay Transparency Statement

At TSMC, your base pay is only part of your overall total compensation package. 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.