Description

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, create intelligent systems that learn, adapt, and evolve.

ABOUT YOU

We are seeking a highly skilled and innovative Senior AI Engineer who is ready 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 Lead Software Development Engineer, 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 software development experience

• Bachelor's degree in Computer Science, Engineering, or related technical field

• Experience delivering complex technical projects

• Experience leading strategic technical initiatives involving multiple engineers

• Expertise in software design, architecture, and best practices

• Problem-solving and analytical capabilities

• Experience in software development lifecycle practices

• Experience with operational support and troubleshooting production systems

• Communication and collaboration skills

Preferred Qualifications

• Demonstrates excellent technical judgment and decision-making abilities

• Balances speed of execution with architectural requirements

• Brings clarity to ambiguous problems

• Takes ownership of technical solutions end-to-end

• Shows commitment to engineering excellence and best practices

• Effectively mentors and develops other engineers

• Has a proven track record of delivering impactful technical solutions

• 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

• Experience building and maintaining large-scale distributed systems

• Track record of improving engineering processes and practices

• Experience influencing technical decisions across teams

• Strong technical writing and documentation skills

• Experience with cloud technologies and microservices architecture

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.