Google's software engineers need to develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another, specifically in the area of Multimodal Video Understanding with SOTA LLM models
Requirements
- 2 years of experience with software development in C++, Python, Machine Learning, Data Analysis, or 1 year of experience with an advanced degree
- 1 year of experience with one or more of the following: Speech/audio, NLU/Natural Language Understanding, reinforcement learning, ML infrastructure, or specialization in another ML field
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)
- Experience with Information Retrieval, Recommender Systems, Large Language Model, coLaboratory, Search Quality, Large Scale Data Processing, SQL
- Experience with data structures or algorithms
- Experience in data analysis using SQL or Python
- Experience developing accessible technologies
Responsibilities
- Write product or system development code
- Identify the gap in coverage and quality between the videos we index and show in Search products today, and those matching the product goals, through data analysis, evaluation and debugging
- Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing
- Leverage SOTA multimodal LLM models to understand the video content and generate useful ranking signals
- Build, optimize and maintain the infrastructure to efficiently index and serve video content in Search
- Develop and implement algorithmic improvement to the triggering, retrieval and ranking of videos in Search
Other
- Bachelor’s degree or equivalent practical experience
- Master's degree or PhD in Computer Science or related technical fields
- 2 years of experience with relevant technologies
- Ability to work in a fast-paced environment
- Equal opportunity workplace and affirmative action employer
