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.ChromeOS delivers quality computing at scale to provide universal and unfettered access to information, entertainment, and tools. Our mission is to empower anyone to create and access information freely through fast, secure, simple, and intelligent computing.
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 diverse 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 junior team members on machine learning best practices, fostering their growth and development.
requirements-expected :
Bachelors 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 state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
life insurance
remote work opportunities
fruits
corporate products and services at discounted prices
