IT AI/ML Engineer

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an 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 the Company began construction on a specialty technology fab in Dresden, 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.

As an AI/ML Engineer, you will be a key member of a versatile team focusing on both algorithm development and platform implementation for TSMC’s R&D, Fab, Business, IT, and Security functions to improve productivity and work quality. The role involves developing AI/ML solutions, implementing scalable platforms to support AI productionization, and maintaining the lifecycle of machine learning models.

Responsibility:

Common Responsibilities

1. Collaborate with cross-functional teams of data scientists, ML engineers, and software developers.

2. Drive the complete AI solution development stages from data collection, exploration, and feature engineering to model evaluation and error analysis.
3. Perform model lifecycle management to ensure the validity of models in production.

4. Exercise sound judgment in determining if business problems can be addressed through AI/ML and communicate results effectively to domain users.

5. Operate and maintain scalable, highly available AI platforms with continuous measurement and quality improvement to meet SLO/SLAs.

Differentiated Responsibilities

1. AI/ML Solution Development

(1) Develop AI/ML algorithms that optimize manufacturing processes, improving productivity and work quality.

(2) Explain AI/ML models to internal customers and conduct error analysis.

2. AI Platform Development

(1) Design and implement full tech stack solutions, including data-related technologies and AI platforms.
(2) Develop tools, automation, and microservices to extend platform capabilities.

(3) Manage container-based workloads and process high volumes of data in environments like Kubernetes.

Additional information for the job:

Job Location: Hsinchu Site, Taipei Office (Experienced only)
On-call needs: On-call 1 week every 3 months

The complete interview process includes:

1. Manager interview
2. Hackerrank test
3. On-site personality and English test(which could be replaced if you have script of officially English test)

4. HR interview
5. Second manager interview (Optional assessment)
6. Technical review (Optional assessment)

Required Qualifications:

1. Bachelor’s degree or above in relevant fields (e.g., Computer Science, Math, Information Engineering, Industry Engineering, Statistics).
2. Programming experience in Python, SAS, or MATLAB.
3. Communication and collaboration skills with proactive problem-solving abilities.

Preferred Qualifications:

1. Knowledge of machine learning and deep learning frameworks or libraries.
2. Familiarity with ML lifecycle, MLOps, DevOps, SDLC methodologies, and CI/CD pipelines.

3. Experience in software development using general-purpose programming languages (e.g., Java, Python), Web Services (RESTful, SOAP), and SQL.
4. Experience managing containerized environments like Kubernetes.

Personal Attributes:

1. Critical thinker, detail-oriented, and high aptitude.
2. Self-driven, motivated, and eager to learn new technologies quickly.
3. A good team player with strong interpersonal skills.

Fostering a global inclusive workplace reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace 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. We strive to create a workplace that is equitable and accessible to all employees. 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.