Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience in AI/ML related engineering.
- 1 year of experience in a technical leadership role with software design and architecture; leading tech design and driving team execution.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- Experience in developing, deploying, managing, and maintaining Machine Learning models and infrastructure.
- Experience in machine learning, building/training AI models, backend data infrastructure or data engineering.
- Experience in Python or C++.
- Knowledge of data engineering practices and principles (e.g., tools, processes, pipelines, etc.).
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.
In this role, you will be a key contributor in developing AI driven capabilities and features for learning products in Search Web and Lens. You will work in close collaboration with product, data, UX and other engineering and research teams. You will put yourself in users shoes, identifying, proposing and driving engineering solutions that bring AI capabilities for learning to the surfaces our users use. Your day to day work will include creating training datasets, fine-tuning, prompt optimization, evaluating model performance, detecting headroom, launching AI driven features and enabling surface specific quality.
- Drive design and implementation of AI features for education in Search Web and Lens.
- Analyze model performance, diagnose loss patterns, and ensure high quality of AI educational user journeys.
- Drive cross-team collaboration with product, User Experience (UX), data and engineering teams across the world, participate in product initiation, plan timelines and ensure engineering delivery.
- Act as an engineering point of contact for cross-functional partners within your area of responsibility.
- Demonstrate growth mindset, self-reflection, mentor other engineers on the team and share expertise in AI/ML best practices and model development.
