Senior Software Developer, Ads Safety Enablement and Prevention

Job summary

Develop innovative machine learning solutions to classify and understand actors and assets within the Google Ads ecosystem. Collaborate with partner teams to build effective clustering-based systems that detect bad actors and reduce friction for legitimate advertisers.

Job details

MINIMUM QUALIFICATIONS: * Bachelor’s degree or equivalent practical experience. * 5 years of experience with software development in one or more programming languages. * 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. * 2 years of experience with one or more of the following languages: SQL, R, Python, or C++. * 2 years of experience building Machine Learning (ML) solutions. PREFERRED QUALIFICATIONS: * Master's degree or PhD in Computer Science or related technical field. * 5 years of experience with data structures and algorithms. * 1 year of experience in a technical leadership role. * Experience developing accessible technologies. ABOUT THE JOB: Google's software developers 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 software developers 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 developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Ads Safety is responsible for safeguarding the Google Ads ecosystem. In this mission, we strive to maintain the trust of billions of users worldwide while at the same time protecting $250+ billion in annual revenue. The Enablement and Prevention team of Ads Safety is at the center of this mission in building scalable and intelligent systems to prevent bad actors from being able to serve ads to our users, and enable good actors to advertise with minimal friction. We strongly believe “the best cure is to prevent” and work with our partners in Ads, Trust & Safety, GBO, and DeepMind to leverage modern machine learning technologies in building innovative solutions to detect risk and establish trust as early as possible. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Canada: $182000 - $186000 (CAD) + 15% bonus target + equity + benefits Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/]. RESPONSIBILITIES: * Work with the team to develop innovative solutions to classify and understand actors and their assets including destinations in Google Ads using modern machine learning techniques. * Collaborate with partner teams to provide holistic solutions to detect and stop bad actors from re-entering Google Ads, and to reduce friction for good actors. * Build effective and explainable clustering-based solutions to ensure consistent treatment of both good and bad actors in Google Ads.

What you’ll do

Develop innovative machine learning solutions to classify and understand actors and assets within the Google Ads ecosystem. Collaborate with partner teams to build effective clustering-based systems that detect bad actors and reduce friction for legitimate advertisers.

Requirements

Requires a bachelor's degree and at least 5 years of software development experience, including specific expertise in machine learning and programming languages like Python or C++. Candidates should possess strong technical leadership qualities and experience in large-scale system design.

Benefits

• Bonus • Equity • Health Insurance

Listed skills

• SQL · Preferred
• Machine learning · Preferred
• C++ · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Software Development
• Machine Learning
• SQL
• R
• Python
• C++
• System Design
• Data Structures
• Algorithms
• Technical Leadership
• Information Retrieval
• Distributed Computing
• Security
• Artificial Intelligence
• Natural Language Processing
• Full-stack Development
• Full Stack Development
• Programming Languages
• C++ (Programming Language)
• Computer Science
• Equities
• R (Programming Language)
• User Interface (UI) Design
• Leadership
• Scalability
• Push Technology
• Innovation
• Intelligent Systems
• Python (Programming Language)
• Natural Language Processing (NLP)
• Relationship Building
• Software Design
• SQL (Programming Language)
• Systems Design
• Advertisement
• Data Storage
• Enthusiasm

Job areas

• Software
• Technology
• Data & Analytics
• Security & Safety
• Engineering
• Software Safety Engineer
• Software Developer / Engineer
• Software Developers