Software Developer III, Cloud Applied AI, Machine Learning
- linkCopy link
- emailEmail a friend
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.
- 1 year of experience with GenAI concepts (e.g., LLM, Multi-Modal, Large Vision Models) with text, image, video, or audio generation.
- 1 year of experience with Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making) or ML infrastructure, or specialization in a related ML field.
Preferred qualifications:
- Experience in developing accessible technologies.
- Experience in code and system health, diagnosis and resolution, and software test engineering.
- Experience with C++, Python.
About the job
Google's software developers 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 a massive scale, and extend well beyond web search. We're looking for 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’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our 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. 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
- Develop first version of the product for early access customers.
- Improve overall Authentication, Authorization, and Accounting (AAA) eco-system by implementing various tools for the team, customers and partners.
- Attend workshops with customers to address their feedback and steer technical development of AAA.
- Collaborate with cross-functional teams to design and implement end-to-end software systems that incorporate Machine Learning/Large Language Model (ML/LLM) components.
- Be updated with emerging trends and technologies in machine learning.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.