Senior AI Scientist: ML, LLMs & Global Impact

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, Git Hub, 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.

In North America, TSMC has a strong sales and service organization that works with customers by helping them achieve silicon success with cutting-edge technologies and manufacturing excellence. The Company has continued to…