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AI/Machine Learning Software Developer II
3 months ago
Company: Google
Location:Waterloo, ON, Canada
Minimum Qualifications:- Bachelor's degree or equivalent practical experience.
- 1 year of experience with data structures or algorithms.
- 1 year of experience with Machine Learning (ML) algorithms and tools (e.g., TensorFlow), Artificial Intelligence (AI), deep learning, or natural language processing.
- Master's degree or PhD in Computer Science or a related technical field.
- Experience in backend programming languages such as GOLang, Rust, or Java.
At Google Cloud, our software engineers are at the forefront of developing innovative technologies that transform how users connect, explore, and engage with information. We seek talented software engineers who can contribute fresh perspectives from diverse fields, including information retrieval, distributed computing, large-scale system architecture, networking, data storage, security, artificial intelligence, natural language processing, user interface design, and mobile development. As a software engineer, you will be assigned to a project that is vital to Google Cloud's objectives, with the flexibility to transition between teams and projects as our dynamic business landscape evolves. You will proactively identify customer needs and take ownership to implement solutions and drive innovation. We value versatility, leadership, and enthusiasm for tackling new challenges across the full technology stack as we advance our technological capabilities.
Google Cloud empowers organizations to undergo digital transformation within their industries. We provide enterprise-level solutions that utilize Google's state-of-the-art technology and tools, enabling developers to build sustainably. Our customers, spanning over 200 countries and territories, rely on Google Cloud as their trusted partner to foster growth and address their most pressing business challenges.
Key Responsibilities- Develop and produce product or system code.
- Facilitate design reviews with colleagues and stakeholders to evaluate available technologies.
- Assess code created by peers and offer constructive feedback to uphold best practices (e.g., style guidelines, code accuracy, testability, and efficiency).
- Enhance existing documentation or educational materials and modify content based on product updates and user insights.
- Investigate product or system issues and troubleshoot by analyzing the root causes and their effects on hardware, network, or service operations and quality.
Google is committed to being an equal opportunity and affirmative action employer. We strive to cultivate a workforce that reflects the diversity of the users we serve, fostering a culture of inclusion and providing equal employment opportunities 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 conditions, or any other legally protected status.
As a global organization, English proficiency is required for all roles to facilitate effective collaboration and communication across our teams.
