Audible is looking to design, architect, and implement machine learning solutions that drive transformative technological advancements by translating complex business challenges into scalable, intelligent systems.
Requirements
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Advanced knowledge of MLOps and ML system design
- Experience with large-scale machine learning systems
- Demonstrated ability to architect complex AI solutions
Responsibilities
- Design and develop advanced machine learning architectures and intelligent systems
- Create robust, scalable ML infrastructure and pipelines
- Develop end-to-end AI solutions addressing complex technical and business challenges
- Architect machine learning models with a focus on performance, scalability, and efficiency
- Conduct advanced research and prototype innovative AI/ML approaches
- Collaborate cross-functionally to align technical solutions with strategic objectives
- Mentor junior engineers and contribute to technical knowledge sharing
Other
- Experience as a mentor, tech lead or leading an engineering team
- Publication or significant contributions in machine learning research
- Strong communication and cross-functional collaboration skills
- Experience building and maintaining large-scale distributed systems
- Track record of improving engineering processes and practices
