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Updated daily · Sep 14, 2026
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Senior AI Model Fine-Tuning Engineer

TSMCPhoenix, AZ

This engineer will lead efforts to customize large pre-trained models so they follow instructions, complete tasks, and respond appropriately across different contexts. The work includes developing prompting and reinforcement-learning strategies, partnering with data specialists, and testing model quality with both standard metrics and user-oriented evaluations. The engineer will also watch for bias, drift, reliability issues, and adversarial behavior as models evolve. This is an on-site position within TSMC Arizona’s technology organization in Phoenix. It would suit an experienced machine learning professional who is comfortable with transformer ecosystems, Python development, model experimentation, and cross-functional communication.

Requirements

Bachelor’s degree in computer science, data science, or a related disciplineAt least 5 years fine-tuning large language models such as GPT, T5, or BERTExpertise in RLHF, prompt engineering, and zero-shot learningExperience with Hugging Face, TensorFlow, PyTorch, or similar transformer frameworksStrong Python and model fine-tuning library experience, including tools such as DeepSpeedAbility to evaluate model quality, safety, bias, and behavioral performance
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Listed July 31, 2026 · Verify details with the employer before applying.

About TSMC Arizona

TSMC's planned $265 billion North Phoenix semiconductor campus is the largest foreign direct investment commitment in a greenfield project in U.S. history and anchors advanced AI chipmaking.

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