Jobs · Engineering · Washington

Senior Software Engineer, Machine Learning, Google Cloud Compute

Google · Kirkland, WA · 5 days ago
On-siteEngineeringFull-time

About the role

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.

Responsibilities

  • Write and test product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst 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

  • Minimum qualifications: Bachelor’s degree or equivalent practical experience; 5 years of experience with software development in one or more programming languages, and with data structures/algorithms; 3 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture.
  • Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field; 1 year of experience in a technical leadership role; Experience in developing accessible technologies.

Skills

Software development in one or more programming languages, data structures/algorithms, testing, maintaining or launching software products, software design and architecture, ML/AI algorithms and tools, deep learning or natural language processing.

Benefits

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Pay

$174,000 - $253,000 (USD) + 15% bonus target + equity + benefits

Schedule

Full-time

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