Job Description

At Audible, we believe in the power of stories to transform lives. As the world’s leading producer and provider of audio storytelling, we’re committed to creating immersive experiences that ignite imaginations and spark inspiration. With a global team of dreamers and doers, we’re shaping the future of audio entertainment. Now, we’re searching for an innovative Software Development Engineer, AI/ML to join our journey and help transform our platform into an AI-driven powerhouse.

About the Role

Step into a pivotal position where cutting-edge AI/ML engineering meets dynamic innovation. As a Software Development Engineer on Audible’s AI/ML Engineering team, you’ll architect intelligent solutions that push the boundaries of what’s possible. From building scalable machine learning systems to designing AI frameworks that transform user experiences, your work will directly impact millions of listeners worldwide.

What You’ll Do

• Engineer the Future: Design and develop advanced machine learning architectures to solve high-impact challenges.
• Build Smart Systems: Create robust, scalable ML infrastructure and pipelines tailored for performance and efficiency.
• Innovate Continuously: Conduct research and prototype AI/ML solutions to address complex technical and business problems.
• Lead with Expertise: Architect intelligent systems with a focus on scalability and real-world applications.
• Collaborate Across Disciplines: Partner with teams to align technical solutions with Audible’s strategic objectives.
• Inspire and Mentor: Share your knowledge by mentoring junior engineers and contributing to technical reviews and discussions.

About You

You’re a forward-thinker who thrives at the intersection of technology and creativity. With a proven track record in AI/ML, you’re passionate about driving innovation, tackling challenges, and creating solutions that matter. You’re not just a builder—you’re a visionary.

Basic Qualifications

• 5+ years of software engineering experience, with a history of delivering impactful technical projects.
• 2+ years of professional experience in AI/ML engineering.
• Proficiency with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn.
• Expertise in AWS, including building solutions with managed and non-managed AWS resources.
• Strong foundation in data structures, algorithms, and software design patterns.
• Experience in agile development environments and cross-functional collaboration.
• Exceptional problem-solving, analytical, and critical-thinking skills.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Preferred Qualifications

• Advanced knowledge of MLOps and machine learning system design.
• Experience developing large-scale ML systems with high impact.
• Demonstrated ability to architect and implement complex AI solutions.
• Published contributions or recognition in machine learning research.
• Strong communication skills and a passion for collaboration.