Senior Software Engineer, Machine Learning, Google Cloud Compute

Google; United States; On-site; USD 174,000 - 253,000; Full time

Benefits offered by this job

Health insurance

Retirement benefits (401k match)

Paid time off 20 days/year

Sick time 40 hours/year

Maternity leave 28–30 weeks

Baby Bonding leave 18 weeks

Paid holidays 13 days

Job summary

Google is seeking a Senior Software Engineer, Machine Learning for Google Cloud Compute, with locations in Sunnyvale, CA or Kirkland, WA. You will design, develop, and deploy ML-powered systems at scale and mentor junior engineers while driving cross-team collaboration across infrastructure and AI services.

The role requires strong programming skills, ML/AI expertise, and experience with large-scale distributed systems to advance Google's cloud capabilities.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development and data structures/algorithms.
• 3 years of experience testing, maintaining or launching software products, and 1 year in design/architecture.
• 3 years of experience with ML/AI algorithms and tools, deep learning or NLP.

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.
• 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.

Skills

Software development

ML/AI expertise

Mentoring

Problem solving

Education

Bachelor's degree or equivalent

Job description

Senior Software Engineer, Machine Learning, Google Cloud Compute Locations

• Sunnyvale, CA, USA
• Kirkland, WA, USA

Experience Level

• Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Benefits

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• 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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.

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.
• 3 years of experience with ML/AI algorithms and tools, deep learning or natural language processing.

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.

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.

In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Compensation

US: $174000 – $253000 (USD) + 15% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

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.

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See also Google’s EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire.

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