Software Engineer III, AI/ML, YouTube Ads

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Overview

The Software Engineer III, AI/ML for YouTube Ads at Google will play a pivotal role in the development and optimization of machine learning models that enhance advertising solutions on the YouTube platform. This role involves collaborating with cross-functional teams to design, implement, and deploy sophisticated algorithms that improve ad targeting and effectiveness. The successful candidate will apply advanced AI/ML techniques to drive product innovation, ensuring our advertising technologies meet the evolving needs of users and advertisers alike.

Job Responsibilities

• Design, implement, and optimize machine learning algorithms focused on advertising optimization and user engagement.
• Collaborate with product managers and data scientists to define feature requirements and specifications.
• Analyze large data sets to gain actionable insights and improve advertising performance metrics.
• Develop and maintain robust software solutions adhering to coding standards and best practices.
• Participate in code reviews and provide constructive feedback to peers.
• Stay informed about the latest developments in AI/ML and advertising technologies.
• Provide technical support and guidance to junior engineers and interns.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; a Master's or Ph.D. is preferred.
• Minimum of 5 years of experience in software development, with a strong focus on AI/ML applications.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of algorithms, data structures, and software design principles.
• Knowledge of cloud platforms, particularly Google Cloud Services, is advantageous.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Technologies & Tools

The Software Engineer III will utilize various technologies and tools, including but not limited to programming languages such as Python and Java, machine learning libraries like TensorFlow and scikit-learn, cloud computing platforms, and version control systems such as Git. Additionally, familiarity with data visualization tools and big data technologies will be beneficial.

Ideal Candidates

The ideal candidates for this position possess strong analytical skills and a growth mindset, eager to tackle complex challenges. They should exhibit excellent collaboration and communication skills, allowing them to work effectively within cross-functional teams. A passion for the intersection of technology and advertising, alongside a commitment to delivering high-quality results, will distinguish top-tier applicants.