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. This role offers a unique opportunity to contribute to a 'labs-style' collaborative environment focused on prototyping, accelerated learning, and productionizing, ensuring we stay at AI innovation. If you're passionate about pushing the boundaries of ML applications and grow in a collaborative, experimental environment, we want to hear from you.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.
Requirements
- 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 one or more of the following: Generative AI, Generative AI Agents, Large Language Models (LLMs), or specialization in another ML field.
- 2 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 2 years of experience with data structures or algorithms in either an academic or industry setting.
- Experience in developing and deploying AI/ML models and algorithms.
- Experience in Python and any other languages (e.g., C++, Kotlin, Java.) and developing accessible technologies.
Responsibilities
- Experiment, fine tune, and deploy AI/ML models and develop AI/ML applications that optimize developer productivity, streamline development workflows, and automate repetitive tasks. This may include test code generation, debugging assistance, and other productivity-enhancing tools.
- Prepare comprehensive technical documentation, including model architectures, algorithms, and implementation details.
- Collect and pre-process data, build and train AI/ML models using various algorithms and techniques, and evaluate their performance.
- Work closely with cross-functional teams, including software developers, data scientists, product managers, and User Experience (UX) designers, to understand their needs and pain points.
- Collaborate effectively to define and implement Artificial Intelligence/Machine Learning (AI/ML) solutions that address these tests and improve overall developer productivity.
- Present findings, results, and recommendations to both technical and non-technical stakeholders in a clear and concise manner.
Other
- Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in Computer Science or related technical fields.
- Passion for Machine Learning, data analysis and developer tools.
- 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.
