The Machine Learning Engineer II role at Amazon Ads involves driving technology choices and continuous innovation in ad serving on Amazon search. The team focuses on utilizing generative AI technologies to enhance advertising experiences and improve customer engagement. This position requires building services that handle billions of requests daily while ensuring low latency and high performance. The engineer will also mentor junior engineers and contribute to advancements in machine learning and AI technologies.

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture experience of new and existing systems
• Experience programming with at least one software programming language
• Experience building complex software systems that have been successfully delivered to customers
• 3+ years of full software development life cycle experience, including coding standards and operations
• Bachelor's degree in computer science or equivalent
• Experience in machine learning, data mining, information retrieval, statistics or natural language processing
• Experience with Machine Learning and Large Language Model fundamentals

• Drive the direction of technical solutions and work with various technologies such as deep learning and AWS.
• Design, develop, and produce software to support scalable offline machine-learning pipelines and online serving components.
• Work closely with applied scientists to optimize the performance of machine-learning models.
• Mentor junior engineers and guide them in delivering impactful products and services.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.