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. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Responsibilities
- Measure and report the efficiency of the ML fleet, generate and collect metrics that help identify optimization opportunities, and drive improvements via changes to Core Machine Learning (ML) products and services.
- Measure and report the fleetwide adoption of Core ML products and services.
- Collect metrics to inform the ML Software/Hardware (SW/HW) roadmap.
- Provide data-driven actionable feedback to ML job owners, Product Area (PA) resource planners, and Fleet resource planners.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 1 year of experience with data structures and algorithms.
- 1 year of experience building and developing large-scale infrastructure or distributed systems.
Preferred qualifications:
- Background in Machine Learning (theory, JAX, PyTorch and other tools).
- Background in Compilers, Computer Architecture, Distributed Systems or related fields.
- Backend programming (C++) and data analytics (FlumeC++/SQL) for development of instrumentation and data aggregation pipelines.