Google - Mountain View, CA

posted about 1 month ago

Full-time - Entry Level
Mountain View, CA
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About the position

The Software Engineer position at Google is designed for early-career PhD graduates in Computer Science or related fields, focusing on AI and Machine Learning. The role involves developing next-generation technologies that impact billions of users, with opportunities to work on various projects critical to Google's needs. Engineers are expected to manage project priorities, deadlines, and deliverables while designing, developing, testing, deploying, maintaining, and enhancing software solutions.

Responsibilities

  • Write product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide on available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Requirements

  • PhD degree in Computer Science or related technical field.
  • Experience coding in one of the following programming languages: C, C++, Java, JavaScript, Python, or Golang.
  • Experience in Machine Learning or Artificial Intelligence.
  • Experience with Recommendation/Ranking/Prediction (RRP), Computer Vision (CV), Natural Language Processing (NLP), Speech/Audio, Deep Learning/Neural Networks, Reinforcement Learning, Distributed Machine Learning.

Nice-to-haves

  • Experience in code and system health, diagnosis and resolution, and software test engineering.
  • Experience developing accessible technologies.
  • Ability to start full-time role in 2025.

Benefits

  • Health insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan
  • Paid holidays
  • Paid time off
  • Employee stock purchase plan
  • Tuition reimbursement
  • Professional development opportunities
  • Flexible scheduling
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