Software Engineer III, Machine Learning, Google Cloud AI

Software Engineer III, Machine Learning, Google Cloud AI

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 Generative AI product features such as Vertex AI, leveraging Large Language Models (LLMs) to create innovative 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.

Responsibilities:

• Write 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.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 2 years of experience with data structures or algorithms in either an academic or industry setting.
• 2 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning, or natural language processing.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• Experience developing accessible technologies.

Benefits: 

• Health and Wellbeing (Medical, dental, and vision insurance for employees and dependents)
• Financial wellbeing (Competitive compensation, regular bonus and equity refresh opportunities)
• Flexibility and time off (Paid time off, including vacation, bereavement, jury duty, sick leave, parental leave, disability, and holidays)
• Family support and care (Fertility and growing family support, parental leave and baby bonding leave)
• Community and personal development (Educational reimbursement)
• Googley extras (Inspiring spaces to work, recharge, and collaborate with fellow Googlers)