Staff Software Developer, Cloud Applied AI Full-time

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C , Java, JavaScript).
• 3 years of experience with machine learning algorithms and tools, or Applied ML (e.g., LLMs, Generative AI, NLP, Recommendations).

Preferred qualifications:

• Master’s degree or PhD in Computer Science or a related technical field.
• 6 years of experience in Applied Machine Learning, including teams responsible for business metrics on user-facing products.
• 3 years of experience working in a complex, matrixed organization.
• Experience in designing APIs for external customers.

About the job

Google Cloud’s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We’re looking for software developers 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 developer, you will work on a specific project critical to Google Cloud’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our software developers 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.

The Cloud Applied AI teams goal is to support enterprises to innovate conversational AI products such as contact centers, conversational interfaces on websites, devices and mobile apps. We apply state-of-the-art of AI/ML to the conversational problems and work on building the next generation of customer service.

Responsibilities

• Set and communicate team priorities that support the broader organization’s goals. Align strategy, processes, and decision-making across teams.
• Collaborate with cross-functional teams to design and implement software systems that incorporate ML/LLM components.
• Provide technical leadership on high-impact projects.
• Build customizable solutions for customers in need of Voice Assistant interfaces or products.
• Be up-to-date with emerging trends and technologies in machine learning.