Software Engineer III, Learning2Perf, AI/ML

Google • Raleigh, NC

2h

About The Position

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.

Leverage GenAI techniques to transform the way performance optimization and efficiency is conducted in the industry. This is an opportunity to join the initiative and enable innovation that will enable the productivity and efficiency of the next generation of Software engineers. This role provides an opportunity with a unique blend of research and building valuable LLM driven products.

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.

Requirements

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, Machine Learning, Large Scale Distributed Systems, Large Language Model 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 one or more of the following: Reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 1 year of experience with software design and architecture.
• Experience in C++, or Python.

Nice To Haves

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience developing accessible technologies.
• Experience with prompt engineering.
• Experience with building data or machine learning pipelines.
• Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.

Responsibilities

• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing. Develop and refine evaluation frameworks tailored to assess the response quality of large language models (LLMs).
• Work involves challenging research and engineering problems at the AI with immediate real-world user impact at massive scale.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level