Minimum qualifications:
* Bachelor’s degree or equivalent practical experience.
* 5 years of experience with software development in C++, and with data structures/algorithms.
* 5 years of experience with design and architecture; and testing/launching
software products.
* 3 years of experience with machine learning algorithms and tools, with 2 years of experience building production quality Machine Learning (ML) systems and infrastructure.
Preferred qualifications:
* Master's degree or PhD in Computer Science or a related technical field.
* Experience with launching applied Machine Learning or Natural Language Processing projects.
* Experience with Generative AI techniques (e.g., LLMs, Multimodal, Large Vision Models) or with Generative AI-related concepts (e.g., language modeling, computer vision).
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.
As a Senior Software Engineer, you will be at the forefront of defining and building Google's future in AI-assisted software development. You will be building the platform to integrate Generative AI-based technologies into Google's suite of consumer-facing products. The team's mission is to empower developers and researchers with Generative AI enablement tools, driving innovation and unlocking the potential of Machine Learning across a range of applications.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
* Leverage products built by the rest of Google, build a high-performing Generative AI platform for first-party developers to apply ML (e.g., multi-agent systems, prompt engineering, model optimization, etc.) into emerging and existing consumer products.
* Collaborate with other stakeholders to ensure delivery of APIs globally.
* Design, develop, and maintain the infrastructure behind Google's first-party Generative AI platform, ensuring scalability, reliability, and performance.
* Build and enhance API features with generations of LLMs.
* Collaborate with cross-functional teams to deliver solutions.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. #J-18808-Ljbffr