AI Application Engineer

AI Application Engineer Share: Share AI Application Engineer

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Location: Google, New Taipei, Banqiao District, New Taipei City, Taiwan

Experience Level: Mid

Minimum Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development and engineering.
• Experience coding in one or more general-purpose programming languages (e.g., Python and C++).
• Experience with Machine Learning frameworks (e.g., TensorFlow, PyTorch, or JAX).
• Experience implementing, deploying, and maintaining machine learning models and pipelines in production environments.

Preferred Qualifications

• Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience with multimedia applications, video processing, or computer vision ML tasks.
• Experience building and scaling ML pipelines on cloud infrastructure (e.g., Google Cloud Platform) and deploying optimized models to edge devices (e.g., mobile, embedded systems).
• Experience with model optimization techniques for performance and latency reduction (e.g., quantization, pruning, hardware-aware tuning).
• Familiarity with AI agent architectures, large language models (LLMs), or orchestration systems (e.g., LangChain, AutoGen).
• Strong understanding of distributed systems, system architecture, and toolchain development for engineering teams.

About the Job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

• Design and develop robust toolchains to support and accelerate multimedia AI activities.
• Develop specialized AI agents and orchestration architectures to work together seamlessly on complex goals.
• Implement, deploy, and scale multimedia Machine Learning (ML) pipelines across Google Cloud and edge devices.
• Optimize machine learning models for improved performance, latency, and deployment efficiency.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Alphabet

Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Location: Google, New Taipei, Banqiao District, New Taipei City, Taiwan

Experience Level: Mid - Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within the relevant area.