Senior Software Engineer, Machine Learning, Model Optimization
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Minimum Qualifications:
* Bachelor’s degree or equivalent practical experience.
* 5 years of experience with software development in C++, Python or Java programming languages, and with data structures/algorithms.
* 3 years of experience with machine learning algorithms and tools.
* 2 years of experience in building production quality ML systems.
Preferred Qualifications:
* Master's degree or PhD in Computer Science or a related technical field.
* Experience with modern ML frameworks (e.g., JAX, Pytorch or TensorFlow).
* Experience with launching applied Machine Learning/Natural Language Processing (ML/NLP) projects.
About the Job
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 shape the future of applied Machine Learning (ML) at Google and push the boundaries of what's possible with Generative Artificial Intelligence technologies. You will be building the platform to integrate GenAI-based technologies into Google's suite of consumer-facing products. Your mission is to empower developers and researchers with GenAI enablement tools, driving innovation and unlocking the potential of ML across a diverse range of applications, and you will play a pivotal role in building a team to ensure the deployment of GenAI across Google is as easy and as fast as possible.
Responsibilities
* Build the platform that incorporates fine-tuning, multi-agent systems, prompt engineering, model optimization, etc. into the Google product development lifecycle.
* Develop and maintain our products, written in C++ and Python, conforms with Google-wide coding and testing standards.
* Design and implement customer requested GenAI features through multiple stages such as requirements gathering, proposing design and building agreement among the stakeholders, implementing and rolling out to production.
* Collaborate with stakeholders to identify emerging technology related to GenAI and develop a plan for translating these into practical solutions for Google products.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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