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. In 2023, the company served 528 customers with 11,895 products for high performance computing, smartphones, IoT, automotive, and consumer electronics, and is the worlds largest provider of logic ICs with 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 its ESMC subsidiary plans to begin construction on a fab in 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 TSMCs 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.

Job Responsibilities:

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)

Job Qualifications:

Required Qualifications:

1. Bachelors 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.