Software Engineer, Machine Learning, Bard

Google
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Job Description

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • Typically 2 years of experience with software development in one or more programming languages, or 1 year with an advanced degree.
  • 2 years of experience with data structures or algorithms.
  • 2 years of experience with ML algorithms/tools (e.g., TensorFlow), AI, deep learning, or natural language processing.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • Experience developing accessible technologies.
  • Experience with search quality and natural language processing.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

Responsibilities

  • Perform error analysis of user conversations and model performance.
  • Work closely with research teams to train and advance state-of-the-art ML models.
  • Manage quality iterations (e.g., data collection, model training, evaluation cycle).
  • Apply state-of-the-art ML technologies, including prompt engineering and prompt tuning.
  • Optimize models for better performance.

Company Info.

Google

Google LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.

  • Industry
    E-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
  • No. of Employees
    139,995
  • Location
    1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
  • Website
  • Jobs Posted

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