As a Software Development Engineer - AI/ML at Audible, you will play a key role in designing and implementing machine learning solutions that foster technological innovation. You will work within a dynamic AI/ML Engineering team dedicated to solving complex challenges through intelligent system design. The ideal candidate will have a strong technical foundation and a desire to learn while collaborating with experienced engineers. Your contributions will help develop AI solutions that create measurable business impact and evolve intelligent systems.

• 1+ years of non-internship professional software development experience
• 1+ years of professional experience programming in a modern programming language such as Java, C++, C#, or Python
• Bachelor's degree in computer science or equivalent
• Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn
• Coursework or projects involving machine learning, deep learning, or AI

• Implement machine learning models and contribute to intelligent system development
• Build and maintain ML infrastructure components and pipelines
• Contribute to AI solutions under the guidance of senior engineers
• Write clean, efficient code for machine learning applications
• Learn and apply ML best practices and optimization techniques
• Collaborate with team members to deliver technical solutions
• Participate actively in code reviews and team knowledge sharing
• Support testing, debugging, and deployment of ML systems

• 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.