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Applied Machine Learning Engineer, AICore

AT Google
Google

Applied Machine Learning Engineer, AICore

Taipei, Taiwan

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 1 year of experience with software development in one or more programming languages (e.g., Python, C++).
  • 1 year of experience with data structures or algorithms.
Preferred qualifications:
  • Master's degree or PhD in Computer Science, or in a related technical field.
  • Experience with Machine Learning (ML) or Deep Learning.
  • Experience with Generative Artificial Learning (AI) or Generative Modeling.
  • Experience with Mobile Development.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

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This team is dedicated to crafting a state-of-the-art GenAI capability by fully harnessing the potential of Large Language Models (LLM) and other foundational AI models running directly on mobile devices. AICore was launched with the Pixel 8/9, devices since 2023 and gaining significant attention alongside the Gemini Nano announcement, your mission is to innovate from within the Android platform and extend these benefits outward, influencing mobile experiences everywhere. Beyond Pixel, we are working with Original Equipment Manufacturers (OEM) across the Android ecosystem.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Responsibilities

  • Partner with DeepMind and CoreML to bring the Gemini model to mobile applications.
  • Create and deploy innovative GenAIfeatures that redefine the mobile experience.
  • Utilize ML expertise to build high-quality, user-centric solutions for Android.
  • Launch and scale GenAImodels to power critical use cases across the Android ecosystem.
  • Ensure optimal performance and user satisfaction through comprehensive model evaluation.

Client-provided location(s): Taipei, Taiwan
Job ID: Google-139529566354842310
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
    • Health Reimbursement Account
    • HSA With Employer Contribution
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
    • Adoption Leave
  • Work Flexibility

    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Pet-friendly Office
    • Snacks
    • Some Meals Provided
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K) With Company Matching
    • Company Equity
    • Performance Bonus
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Internship Program
    • Learning and Development Stipend
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)

Company Videos

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