Senior Fullstack Software Engineer, AI/ML, Core Labs
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.
Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- 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 technical documentation, including model architectures, algorithms, and implementation details. Present findings, results, and recommendations to both technical and non-technical stakeholders in a clear and concise manner.
- 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.
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 with one or more of the following: Generative AI, Generative AI Agents, Large Language Models (LLMs), or another ML field.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- 5 years of experience with data structures and algorithms in academic or industry setting.
- 1 year of experience in a technical leadership role.
- Experience with C++ and SQL.
- Experience in developing and deploying AI/ML models and algorithms.
- Passion for Machine Learning, data analysis and developer tools.