Senior Software Developer, AI/Machine Learning, Applied AI

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 machine learning algorithms, artificial intelligence, deep learning or natural language processing.
Experience with Language Models, NLP, or Generative AI.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical field.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.
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 financial services industry is the largest worldwide spender on technology. It is also the least well-penetrated in terms of cloud adoption. You will be joining a team focused on delivering solutions to this, untapped market. The Risk Artificial Intelligence (AI) team in Cloud Applied AI is an entrepreneurial team with the intent of driving efficiency and innovation for this technology-dependent, data-hungry industry; focusing on financial crime detection and fighting. We strive to build products that delight users by delivering domain-relevant data platforms, transformational AI applications and cloud-computing services.The Risk AI Engineering team is at the forefront of innovation. We are building the next generation platform and applications to fight financial crime using Machine Learning and Gen AI technologies.
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 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.