Software Engineer II, Machine Learning

職缺大約 16 小時前更新

職缺描述

Google welcomes people with disabilities.

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, C++, Java, JavaScript).

Preferred qualifications:

  • Experience in Natural Language Processing, Large Language Models, or Computer Vision.
  • Experience in applied machine learning or machine learning research.
  • Experience in Android Development.
  • Excellent programming skills in C++ and Python.
  • Excellent problem-solving skills.
  • Passionate and respectful team player.

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.

As a Software Engineer, you will be responsible for developing the machine learning system and models that power the Pixel personal agent. This includes tasks such as data collection design, data engineering, feature engineering, model training, and model evaluation. You will work with engineers, researchers, and product managers across Google to design and implement new features for the personal agent.

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

  • Develop applications on Android/Pixel.
  • Propose, design, and implement data collection solutions.
  • Design evaluation framework and carry out evaluations of the machine learning models.
  • Stay up-to-date on the latest machine learning techniques and technologies and apply them to our technical solutions.
  • Collect, clean, and tune data to develop, maintain, and evaluate machine learning models.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Google’s mission is to organize the world‘s information and make it universally accessible and useful.

Since our founding in 1998, Google has grown by leaps and bounds. From offering search in a single language we now offer dozens of products and services—including various forms of advertising and web applications for all kinds of tasks—in scores of languages. And starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. A lot has changed since the first Google search engine appeared. But some things haven’t changed: our dedication to our users and our belief in the possibilities of the Internet itself.


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