Amazon
Lead Software Development Engineer, AI/Machine Learning
Amazon, Newark, New Jersey, us, 07175
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 Lead Software Engineer - AI/ML, it's up to you 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.
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 Lead Software Development Engineer - AI/ML, you will develop advanced machine learning architectures and intelligent systems, create robust and scalable ML infrastructure, deliver end‑to‑end AI solutions, architect machine learning models, conduct research, collaborate cross‑functionally, mentor junior engineers, and lead technical design reviews.
Design and develop advanced machine learning architectures and intelligent systems
Create robust, scalable ML infrastructure and pipelines
Development 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
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
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.
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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. You 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 Lead Software Development Engineer - AI/ML, you will develop advanced machine learning architectures and intelligent systems, create robust and scalable ML infrastructure, deliver end‑to‑end AI solutions, architect machine learning models, conduct research, collaborate cross‑functionally, mentor junior engineers, and lead technical design reviews.
Design and develop advanced machine learning architectures and intelligent systems
Create robust, scalable ML infrastructure and pipelines
Development 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
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
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.
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