Senior Data Science Engineer Visa Sponsorship Jobs in Arizona
Arizona's senior data science engineer market is anchored by major employers in the Phoenix metro, including Banner Health, Intel, American Express, and a growing cluster of fintech and semiconductor firms. Tempe, Scottsdale, and Chandler are the primary hiring hubs, with visa sponsorship common at larger technology-intensive organizations actively recruiting international candidates.
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A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona’s first fab will operate its leading-edge semiconductor process technology (N4 process), starting production in the first half of 2025. The second fab will utilize its leading edge N3 and N2 process technology and be operational in 2028. The recently announced third fab will manufacture chips using 2nm or even more advanced process technology, with production starting by the end of the decade. America’s leading technology companies are ready to rely on TSMC Arizona for the next generations of chips that will power the digital future.
As a Senior AI Model Fine-Tuning Engineer, you will work on adjusting the behavior and functional abilities of our AI models to make them more adaptable, intelligent, and aligned with real-world use cases. You will use advanced techniques like prompt engineering, RLHF, and instruction tuning to ensure our models produce high-quality, context-aware responses.
Responsibilities
- Lead the fine-tuning process for large pre-trained models, focusing on making models behave appropriately in different contexts (e.g., following instructions, answering questions, or performing tasks).
- Design and implement prompt engineering strategies to help the model produce more accurate, relevant, and coherent outputs.
- Apply Reinforcement Learning from Human Feedback (RLHF) and other behavioral fine-tuning methods to improve the model's alignment with user needs and ethical standards.
- Collaborate with data teams to integrate relevant data and continuously improve model behavior.
- Conduct model evaluations using various performance metrics (accuracy, bias detection, user feedback) to identify areas for improvement.
- Iterate and experiment with different fine-tuning methods to achieve optimal performance for specific use cases.
- Monitor model drift and ensure that models remain consistent, reliable, and safe over time.
Minimum Qualifications/Requirements
Education: Minimum degree required: Bachelor's degree in Computer Science, Data Science, or a related field.
Technical Skills
- 5+ years of experience working on fine-tuning large-scale models such as GPT, T5, or BERT, with a strong focus on behavior and functionality.
- Expertise in advanced tuning methods such as RLHF, prompt engineering, and zero-shot learning.
- Experience with popular transformer architectures and frameworks like Hugging Face, TensorFlow, or PyTorch.
- Deep understanding of LLM behaviors, including instruction-following, task completion, and ethical considerations in output.
- Proficiency in Python and experience with libraries for model fine-tuning (e.g., Transformers, DeepSpeed).
- Experience in evaluating model performance, including using metrics like BLEU, ROUGE, perplexity, and custom evaluation frameworks.
- Bonus: Experience with ethical AI and safety considerations, such as minimizing bias and handling adversarial inputs.
- Bonus: Experience with model deployment and real-time experimentation (A/B testing).
Interpersonal Skills
- Communication
- Computer proficiency
- Presentation skills
- Listening
- Teamwork
Candidates must be willing and able to work on-site at our Phoenix Arizona facility.
As a valued member of the TSMC family, we place a significant focus on your health and well-being. When you are at your best—physically, mentally, and financially—our company is at its best. We offer a comprehensive and competitive benefits program that provides the resources you need to help you manage your health and achieve your goals across many areas of your life. This includes a variety of medical, dental and vision plan offerings you can choose from that best fit your and your family’s needs. Additionally, TSMC provides income-protection programs to financially assist you should you experience an injury or illness, and a 401(k)-retirement savings plan to help you secure your financial future. TSMC also offers competitive paid time-off programs and paid holidays allowing you to recharge and spend time with your family and loved ones.
Work Location: 5088 W. Innovation Circle, Phoenix, AZ 85083
TSMC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. We encourage all qualified individuals to apply, and we welcome applications from individuals with diverse backgrounds and experiences. Candidates must be able to perform the essential functions of the job with or without a reasonable accommodation. If you need a reasonable accommodation as part of this application process, please contact P_LOA@tsmc.com.

A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona’s first fab will operate its leading-edge semiconductor process technology (N4 process), starting production in the first half of 2025. The second fab will utilize its leading edge N3 and N2 process technology and be operational in 2028. The recently announced third fab will manufacture chips using 2nm or even more advanced process technology, with production starting by the end of the decade. America’s leading technology companies are ready to rely on TSMC Arizona for the next generations of chips that will power the digital future.
As a Senior AI Model Fine-Tuning Engineer, you will work on adjusting the behavior and functional abilities of our AI models to make them more adaptable, intelligent, and aligned with real-world use cases. You will use advanced techniques like prompt engineering, RLHF, and instruction tuning to ensure our models produce high-quality, context-aware responses.
Responsibilities
- Lead the fine-tuning process for large pre-trained models, focusing on making models behave appropriately in different contexts (e.g., following instructions, answering questions, or performing tasks).
- Design and implement prompt engineering strategies to help the model produce more accurate, relevant, and coherent outputs.
- Apply Reinforcement Learning from Human Feedback (RLHF) and other behavioral fine-tuning methods to improve the model's alignment with user needs and ethical standards.
- Collaborate with data teams to integrate relevant data and continuously improve model behavior.
- Conduct model evaluations using various performance metrics (accuracy, bias detection, user feedback) to identify areas for improvement.
- Iterate and experiment with different fine-tuning methods to achieve optimal performance for specific use cases.
- Monitor model drift and ensure that models remain consistent, reliable, and safe over time.
Minimum Qualifications/Requirements
Education: Minimum degree required: Bachelor's degree in Computer Science, Data Science, or a related field.
Technical Skills
- 5+ years of experience working on fine-tuning large-scale models such as GPT, T5, or BERT, with a strong focus on behavior and functionality.
- Expertise in advanced tuning methods such as RLHF, prompt engineering, and zero-shot learning.
- Experience with popular transformer architectures and frameworks like Hugging Face, TensorFlow, or PyTorch.
- Deep understanding of LLM behaviors, including instruction-following, task completion, and ethical considerations in output.
- Proficiency in Python and experience with libraries for model fine-tuning (e.g., Transformers, DeepSpeed).
- Experience in evaluating model performance, including using metrics like BLEU, ROUGE, perplexity, and custom evaluation frameworks.
- Bonus: Experience with ethical AI and safety considerations, such as minimizing bias and handling adversarial inputs.
- Bonus: Experience with model deployment and real-time experimentation (A/B testing).
Interpersonal Skills
- Communication
- Computer proficiency
- Presentation skills
- Listening
- Teamwork
Candidates must be willing and able to work on-site at our Phoenix Arizona facility.
As a valued member of the TSMC family, we place a significant focus on your health and well-being. When you are at your best—physically, mentally, and financially—our company is at its best. We offer a comprehensive and competitive benefits program that provides the resources you need to help you manage your health and achieve your goals across many areas of your life. This includes a variety of medical, dental and vision plan offerings you can choose from that best fit your and your family’s needs. Additionally, TSMC provides income-protection programs to financially assist you should you experience an injury or illness, and a 401(k)-retirement savings plan to help you secure your financial future. TSMC also offers competitive paid time-off programs and paid holidays allowing you to recharge and spend time with your family and loved ones.
Work Location: 5088 W. Innovation Circle, Phoenix, AZ 85083
TSMC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. We encourage all qualified individuals to apply, and we welcome applications from individuals with diverse backgrounds and experiences. Candidates must be able to perform the essential functions of the job with or without a reasonable accommodation. If you need a reasonable accommodation as part of this application process, please contact P_LOA@tsmc.com.
Senior Data Science Engineer Job Roles in Arizona
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Search Senior Data Science Engineer Jobs in ArizonaSenior Data Science Engineer Jobs in Arizona: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in Arizona?
Large employers with established sponsorship track records for senior data science engineers in Arizona include Intel, American Express, Banner Health, Honeywell, and PayPal. Semiconductor and fintech companies concentrated in the Chandler and Scottsdale corridors file H-1B petitions regularly for data science roles. Sponsorship tends to be more consistent at companies with dedicated immigration compliance teams and ongoing data infrastructure investments.
Which visa types are most common for senior data science engineers in Arizona?
The H-1B is the primary work visa for senior data science engineers in Arizona, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already holding an H-1B elsewhere can transfer to an Arizona employer. The O-1A is an option for those with demonstrable recognition in the field, and the TN visa covers Canadian and Mexican nationals in qualifying engineering categories.
Which cities in Arizona have the most senior data science engineer sponsorship jobs?
Phoenix and its surrounding metro cities, particularly Scottsdale, Tempe, and Chandler, account for the majority of senior data science engineer sponsorship opportunities in Arizona. Chandler hosts a significant semiconductor and technology manufacturing base, including Intel's large campus. Scottsdale attracts fintech and healthcare analytics employers. Tucson has a smaller but active market tied to the University of Arizona and defense contractors such as Raytheon.
How to find senior data science engineer visa sponsorship jobs in Arizona?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse senior data science engineer roles in Arizona without sifting through positions that don't offer sponsorship. You can narrow results to Arizona-based employers and focus on companies with active H-1B filing histories in data science. This saves significant time compared to manually screening general job postings for sponsorship details.
Are there state-specific factors that affect visa sponsorship for senior data science engineers in Arizona?
Arizona's cost of living relative to coastal tech hubs means prevailing wage requirements for senior data science engineers can differ meaningfully from cities like San Francisco or New York, which affects how employers structure compensation for sponsored roles. Arizona State University and the University of Arizona produce a steady pipeline of data science graduates, which means some employers actively recruit international students finishing OPT, creating a natural sponsorship pathway at companies already familiar with the process.
What is the prevailing wage for sponsored senior data science engineer jobs in Arizona?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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