Senior Software Engineer ML/AI, Machine Learning Engineering

Job description

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 THIS ROLE
As a Senior Software Engineer - ML/AI, it's up to you to design, architect, and implement machine learning solutions that drive transformative technological advancements.

The ideal candidate will combine deep technical expertise with strategic thinking, capable of translating complex business challenges into scalable, intelligent systems.

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 AI solutions that drive technological breakthroughs, deliver measurable business impact, create intelligent systems that learn, adapt, and evolve.

ABOUT YOU
As a Senior Software Engineer - ML/AI, 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 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
- Experience as a mentor, tech lead or leading an engineering team
- Advanced knowledge of MLOps and ML system design
- Experience with large-scale machine learning systems
- Demonstrated ability to architect complex AI solutions
Preferred Qualifications
- Bachelor's degree in computer science or equivalent
- 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 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 $151,300/year in our lowest geographic market up to $261,500/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.

Required Skill Profession

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