Software Developer, Fighting Ad Fraud

MINIMUM QUALIFICATIONS: * Bachelor’s degree or equivalent practical experience. * 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. * 2 years of experience in Machine Learning or Statistical Analysis. PREFERRED QUALIFICATIONS: * Master's degree or PhD in Computer Science or related technical fields. * Experience in reverse developing and security analysis. * Experience with anti-abuse systems. * Experience with web browsers or mobile app development. 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. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. As a key member of the Botnets team, you will be instrumental in building resilient, industry-leading defenses against the scale and sophistication of automated and distributed spam attacks targeting Google's ads ecosystem. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Canada: $150000 - $153000 (CAD) + 15% bonus target + equity + benefits Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/]. RESPONSIBILITIES: * Stay up-to-date on industry trends and emerging threats and build new initiatives and roadmaps to defend Google's ads ecosystem. * Work cross-functionally with Google research teams to influence and apply state-of-the-art machine learning technologies in fraud detection. * Build statistical and machine learning models to automate spam detection and filtering. * Instrument Google ads products to collect traffic signals for building robust and privacy-friendly anomaly detection. * Establish ground-truth and dissect botnet workflows through traffic analysis and reverse developing.

You will design, develop, and maintain software solutions to defend Google's ads ecosystem against automated spam and botnet attacks. This involves building machine learning models, analyzing traffic patterns, and collaborating with research teams to implement fraud detection initiatives.

Candidates must have a bachelor's degree and at least two years of software development experience, including machine learning or statistical analysis. Proficiency in reverse engineering and security analysis is highly preferred for this role.

• Bonus target • Equity • Health benefits

• Apprentissage automatiqueSouhaitée
• Conception UISouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Software development
• Machine learning
• Statistical analysis
• Reverse engineering
• Security analysis
• Anti-abuse systems
• Information retrieval
• Distributed computing
• Large-scale system design
• Networking
• Data storage
• Artificial intelligence
• Natural language processing
• UI design
• Mobile app development
• Traffic analysis
• Statistical Analysis
• Influencing Skills
• Software Solutions
• Full Stack Development
• Influencing Without Authority
• Workflow Management
• Resilience
• Fraud Detection
• Programming Languages
• Research
• Artificial Intelligence
• Anomaly Detection
• Software Development
• Botnet
• Mobile Application Development
• Computer Science
• Distributed Computing
• Equities
• User Interface (UI) Design
• Leadership
• Web Browsers
• Push Technology
• Information Retrieval
• Machine Learning
• Project Management
• Natural Language Processing (NLP)
• Security Analysis
• Systems Design
• Traffic Analysis
• Data Storage
• Enthusiasm

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

Formation minimale

Baccalauréat

Expérience minimale

2+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine