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Location
In office (New Taipei)
Seniority
Junior · 2+ years exp

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 22, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

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.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.

Responsibilities

  • Contribute to the strategy for selecting, fine-tuning, and deploying foundational models to achieve specific product goals.
  • Work on the deployment and optimization of large language models (LLMs) and multi-modal models for both on-device and cloud execution. This includes leveraging and improving ML infrastructure for model evaluation, data processing, and debugging.
  • Contribute to the design and implementation of data collection and processing solutions. Develop evaluation frameworks to measure the real-world performance and impact of machine learning models on the user experience.
  • Stay current with the latest advancements in Generative AI. Translate cutting-edge research into tangible product features that create transformative and helpful experiences for Pixel users.

Qualifications

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in Python, Java or C++.

Preferred qualifications:

  • Master's degree in Computer Science, specializing in Machine Learning, Artificial Intelligence, or Natural Language Processing.
  • Experience independently building and contributing to the design of user-facing GenAI features, in close collaboration with product, research, and engineering teams.
  • Experience with relevant technologies (e.g., JAX, Tensorflow, PyTorch).
  • Exceptional ML fundamentals and data engineering skills, with an understanding of modern ML model evaluation techniques, including industry-standard benchmarks and metrics.
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