Software Development Engineer, Content AI Position Available In Essex, New Jersey

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

The Soul team focuses on Audible Playback Insights and Optimizations. This team specializes in collecting, processing, and analyzing Playback data to identify ways to optimize and improve the Audible customer experience.

ABOUT YOU

We are seeking a highly skilled and innovative Software Development Engineer to design, architect, and implement 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, 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

• 3+ 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)
• Experience in AWS with building solutions with several managed and non-managed AWS resources
• Experience in Software engineering including data structures, algorithms, and software design patterns
• Experience working in an agile development environment and collaborating cross-functionally
• 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
• Problem-solving, critical thinking, and analytical skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.