info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
New York, NY, USA; Mountain View, CA, USA.
Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience with data structures or algorithms in either an academic or industry setting.
- 1 year of experience with Generative AI, Large Language Models, Natural Language Processing, or Agent-based systems.
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- Experience in Python and any other languages (e.g., C , Kotlin, Java.)
- Experience in developing and deploying AI/ML models and algorithms.
- Experience building productivity platforms or enterprise software at scale, with a strong intuition for how to elegantly merge Human-Computer Interaction (HCI) with autonomous AI.
About the jobGoogle'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 have the unique opportunity to contribute to a 'labs-style' collaborative environment focused on prototyping, accelerated learning, and productionizing, ensuring we stay at the head of AI innovation.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google .
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. 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 UX designers, to understand their needs and pain points. Collaborate effectively to define and implement AI/ML solutions that address these tests and improve overall developer productivity.
