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Amazon

Lead Software Engineer, AI/Machine Learning

Amazon, Seattle, Washington, us, 98127

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Lead Software Engineer, AI/Machine Learning 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 Lead Software Engineer - AI/ML, 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, and create intelligent systems that learn, adapt, and evolve.

About You

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

Basic Qualifications

5+ years of non‑internship professional software development experience

5+ years of programming with at least one software programming language

5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems

5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

Experience as a mentor, tech lead or leading an engineering team

Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

Preferred Qualifications

Bachelor’s degree in computer science or equivalent

Experience collaborating with cross‑functional teams

Experience with cloud computing technologies

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 the 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.

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