TSMC · 1 month ago
Senior AI Research Scientist(6240)
San Jose, CA
Full-time
Hybrid
Senior Level
$170K/yr - $270K/yr
7+ years expTaiwan Semiconductor Manufacturing Company (TSMC) is seeking skilled Senior Artificial Intelligence (AI) Research Scientists for their AI4BI Center. This role involves designing advanced AI-enabled analytics techniques and requires collaboration with international teams to develop data-driven solutions for business intelligence applications.
Consumer ElectronicsElectronicsManufacturingProduct DesignSemiconductor
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
Lead teams of junior data scientists and data engineers to develop efficient procedures, follow best practices, and provide implementation guidance (e.g., code reviews, demos) 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
Produce publications in leading AI conference and/or journal venues
Qualification
Required
Ph.D. in computer science, information systems, information science, statistics, or related AI or machine learning field
At least 7-10 years of significant AI, machine learning, and data science-related working and research experience
Experience gathering requirements from business stakeholders and developing technical machine learning designs for implementation
Strong practical experience with 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 deep learning implementation, including data encodings, processing units, and learning paradigms
Proficiency in developing novel machine learning or deep learning algorithms based on unique dataset characteristics and business requirements
Strong practical network science skills and experience
Experience with text analytics for named entity recognition, sentiment analysis, and topic modelling
Hands-on research experience with time series modeling and forecasting with statistical, machine learning, deep learning-based, and/or foundation model (TimesFM) approaches
Hands-on research experience with reinforcement learning approaches, including value-based, policy-based, actor-critic, and/or multi-objective
Hands-on research experience, including literature review, model design, implementation, evaluation, and publication
Experience fine-tuning LLMs and other foundation models with strategies such as low rank adaptation, few shot learning, and others
Experience with prompt engineering on LLMs and other foundation models with techniques such as reinforcement learning (e.g., Direct Preference Optimization (DPO), Proximal Policy Optimization (PPO)), 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 at least 1-3 months each year for training, team building, and project coordination
Preferred
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, 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
Proven and extensive track record publishing in leading AI conferences (e.g., NeurIPS, ICLR, ICML, KDD) and/or journals (e.g., IEEE TKDE, ACM TOIS)
Benefits
Market competitive pay
Allowances
Bonuses
Comprehensive benefits
Extensive development opportunities and programs
Company
TSMC
Established in 1987, TSMC is the world's first dedicated semiconductor foundry.
10001+ employees
H1B Sponsorship
TSMC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (49)
2024 (27)
2023 (30)
2022 (17)
2021 (31)
2020 (35)
Funding
Current Stage
Public CompanyTotal Funding
$14.2BKey Investors
U.S. Department of CommerceBerkshire Hathaway
2024-04-08Grant· $6.6B
2024-01-01Acquired
2022-09-30Post Ipo Equity· $4.1B
Leadership Team
Morris Chang
Founder, Chairman & CEO
Peter M. Cleveland
Senior Vice President
Recent News
2026-01-09
2026-01-09
2026-01-07
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