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.

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

• Lead the features from front-end, client, serving and modeling.

• Collaborate across multiple teams and functions within editors, to bring model capabilities to the AI features.

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.

• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

• 1 year of experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models).

• Experience with text, image, video, or audio generation.

Preferred qualifications

• Master’s degree.

• 5 years of experience in software development or ML.

• 3 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture or experience with GenAI techniques (e.g., Large Language Models (LLMs), Multi-Modal, Large Vision Models), GenAI-related concepts (language modeling, computer vision), ML algorithms and tools (e.g. Tensor Flow), or NLP.

• 2 years of experience with data structures and algorithms.

• Experience in Machine Learning, Machine Learning Infrastructure, AI Platform, Python, C++.