Staff Software Engineer AI ML GenAI

1 tydzień temu

Krakow, Polska Google Pełny etat

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Science, with an emphasis on ML/AI, a relevant technical field, or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). Preferred qualifications: Experience as a technical lead for a small team (e.g., 3-6 people). Experience with agentic systems, ML domains such as reinforcement learning, image analysis or advanced statistics. Familiarity with Android or mobile software development concepts. Understanding of the software development life-cycle and best practices. Understanding of machine learning fundamentals with a passion for coaching and mentoring team members. Ability in establishing and tracking meaningful metrics for ML system performance and reliability. About the job We are a small, dynamic team at the forefront of generative AI. Our mission is to automate device operations across a variety of form factors (including phones, laptops, and tablets) and to derive insights from acquired data. Inspired by recent AI advancements, we aim to build agents capable of operating devices, at scale and with high efficiency and accuracy. We foster a collaborative environment where team members can learn from each other and contribute together.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Responsibilities Design, develop, deploy, and maintain scalable machine learning systems for our device automation and app analysis platforms, with a focus on generative and agentic AI. Enhance and refine our AI-powered agents to improve their understanding and execution capabilities across various form factors. Define, establish, and track Key Performance Indicators (KPIs) and metrics to rigorously evaluate and iterate on the performance, quality, and reliability of our ML systems. Collaborate closely with other engineers in a fast-paced environment. Provide technical leadership, and mentor team members on machine learning best practices, fostering their growth and development. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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