Software Development Engineer, AI/ML, Audible

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.

ABOUT THE TEAM
Our AI/ML Engineering team is at the forefront of transformative technological innovation, dedicated to solving complex challenges through intelligent system design. We are a dynamic, collaborative group of technologists who push the boundaries of machine learning, artificial intelligence, and large-scale distributed systems.

Our mission is to develop cutting-edge AI solutions that drive technological breakthroughs, deliver measurable business impact, and create intelligent systems that learn, adapt, and evolve.

ABOUT YOU
We are seeking a highly skilled and innovative Senior AI/ML Engineer to design, architect, and implement cutting-edge machine learning solutions that drive transformative technological advancements. You will combine deep technical expertise with strategic thinking, capable of translating complex business challenges into scalable, intelligent systems.

As a Software Development Engineer, AI/ML, you will...
-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
-Lead technical design reviews and provide architectural guidance

ABOUT AUDIBLE
Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.

Basic Qualifications

- 5+ years of relevant experience as a software engineer, with a track record of delivering complex technical projects
- 2+ years professional experience in AI/ML engineering
- Familiarity in machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
- AWS skills and experience with building solutions with several managed and non-managed AWS resources
- Software engineering skills including data structures, algorithms, and software design patterns
- Experience working in an agile development environment and collaborating cross-functionally
- Problem-solving, critical thinking, and analytical skills
- Communication and collaboration skills
- Bachelor's degree in Computer Science, Engineering, or a related technical field

Preferred Qualifications

- Advanced knowledge of MLOps and ML system design
- Experience with large-scale machine learning systems
- Demonstrated ability to architect complex AI solutions
- Publication or significant contributions in machine learning research
- Strong communication and cross-functional collaboration skills

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.