Software Engineer III AI ML Google Cloud Busine... @ Google
placeMountain View, California, United States
attach_money $170,000
businessOn Site
scheduleFull Time
Posted 10 hours ago
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Email Hiring Manager
****** @google.com
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Job Details
About the Role
The Software Engineer III AI ML Google Cloud Business Platforms role at Google demands expertise in software development along with specialized experience in AI/ML. This position offers an opportunity to work on critical projects that drive next-generation technologies across billions of users worldwide.
Minimum Qualifications
- Bachelor’s degree or equivalent practical experience.
- 2 years of software development experience in one or more programming languages, or 1 year with an advanced degree.
- 1 year of experience in Speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
- 1 year of experience with ML infrastructure including model deployment, evaluation, optimization, data processing and debugging.
Preferred Qualifications
- Master's degree or PhD in Computer Science or related fields.
- 2 years of experience with data structures or algorithms.
- Experience in developing accessible technologies.
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders via design and code reviews.
- Contribute to documentation and adapt educational content.
- Triage issues by debugging and resolving product or system problems.
- Implement solutions in specialized ML areas and utilize ML infrastructure.
Compensation & Benefits
The US base salary range for this full-time role is $141,000-$202,000 plus bonus, equity, and benefits. Note that these figures represent the base salary portion only.
Key skills/competency
- Software Development
- AI
- Machine Learning
- Google Cloud
- ML Infrastructure
- Debugging
- Problem Solving
- Code Reviews
- Data Processing
- Collaboration
How to Get Hired at Google
🎯 Tips for Getting Hired
- Customize your resume: Tailor your coding and ML experience.
- Study Google technologies: Focus on AI and cloud innovations.
- Prepare coding challenges: Practice algorithm and data structure problems.
- Show collaborative experience: Highlight teamwork and code review practices.
📝 Interview Preparation Advice
Technical Preparation
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Review ML infrastructure components
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Practice coding challenges in multiple languages
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Study algorithms and data structure basics
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Build small projects using ML models
Behavioral Questions
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Discuss past teamwork experiences
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Explain problem solving in projects
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Show examples of handling challenges
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Describe adaptability during change
Frequently Asked Questions
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