Sr. Machine Learning Engineer, AI Studios Engineering, Prime Video
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Job Location:
New York City, NY - USA
Yearly Salary:
$ 151300 - 261500
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Department:
Job Summary
Join us as a Sr. Machine Learning Engineer on the AI Studios Engineering org within Prime Video where youll architect intelligent systems at the intersection of AI and global entertainment. This role offers a rare opportunity to transform how Prime Video creates recaps highlights montages and other short form content scaling from manual processes to AI-powered systems generating high-quality content across our entire catalog.
This position uniquely combines large-scale distributed systems design with ML/AI infrastructure engineering at scale. Youll work shoulder-to-shoulder with creative professionals writing production code for ML systems in the morning and designing scalable solutions in the afternoon. Your technical decisions will directly impact millions of customers experiences as you balance innovation with reliability while collaborating across engineering product and creative teams.
Key job responsibilities
- Lead technical architecture decisions for distributed ML inference systems making appropriate build/buy/borrow decisions while ensuring extensibility and maintainability
- Design and implement scalable high-performance AI content generation systems that process millions of video assets optimizing for both quality and computational efficiency
- Collaborate with cross-functional teams including ML scientists product managers and creative professionals to translate business requirements into technical solutions
- Mentor junior engineers on software development best practices code quality standards and system design principles while promoting a culture of technical excellence
- Drive technical innovation by evaluating emerging technologies conducting experiments with latest AI models and implementing solutions that balance speed-to-market with long-term technical sustainability
A day in the life
No two days are identical in this role. Some days youll spend 70% coding deep system implementations while others involve 70% collaboration through design reviews and stakeholder management. Youll constantly shift between writing production code optimizing ML systems designing scalable solutions mentoring engineers and collaborating with scientists product teams and creative professionals. What remains constant is the high impact autonomy and complexityyoull always balance strategic thinking with tactical execution while translating between technical and non-technical stakeholders.
About the team
Were part of the Engineering org within Prime Videos AI Studio pioneering automated content creation at entertainment scale. Our mission is transforming how Prime Video creates recaps highlights trailer montages news digest etcscaling from manual weeks-long processes to AI-powered systems generating high-quality content pieces across our entire catalog.
Our engineering team spans distributed systems engineers building scalable infrastructure ML engineers optimizing LLM inference and multi-modal models and full-stack engineers crafting intuitive interfaces for creative collaboration.
- 5 years of programming with at least one software programming language experience
- 5 years of non-internship professional software development experience
- 5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience as a mentor tech lead or leading an engineering team
- 5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors 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 for more information. If the country/region youre applying in isnt 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 $151300/year in our lowest geographic market up to $261500/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
This position uniquely combines large-scale distributed systems design with ML/AI infrastructure engineering at scale. Youll work shoulder-to-shoulder with creative professionals writing production code for ML systems in the morning and designing scalable solutions in the afternoon. Your technical decisions will directly impact millions of customers experiences as you balance innovation with reliability while collaborating across engineering product and creative teams.
Key job responsibilities
- Lead technical architecture decisions for distributed ML inference systems making appropriate build/buy/borrow decisions while ensuring extensibility and maintainability
- Design and implement scalable high-performance AI content generation systems that process millions of video assets optimizing for both quality and computational efficiency
- Collaborate with cross-functional teams including ML scientists product managers and creative professionals to translate business requirements into technical solutions
- Mentor junior engineers on software development best practices code quality standards and system design principles while promoting a culture of technical excellence
- Drive technical innovation by evaluating emerging technologies conducting experiments with latest AI models and implementing solutions that balance speed-to-market with long-term technical sustainability
A day in the life
No two days are identical in this role. Some days youll spend 70% coding deep system implementations while others involve 70% collaboration through design reviews and stakeholder management. Youll constantly shift between writing production code optimizing ML systems designing scalable solutions mentoring engineers and collaborating with scientists product teams and creative professionals. What remains constant is the high impact autonomy and complexityyoull always balance strategic thinking with tactical execution while translating between technical and non-technical stakeholders.
About the team
Were part of the Engineering org within Prime Videos AI Studio pioneering automated content creation at entertainment scale. Our mission is transforming how Prime Video creates recaps highlights trailer montages news digest etcscaling from manual weeks-long processes to AI-powered systems generating high-quality content pieces across our entire catalog.
Our engineering team spans distributed systems engineers building scalable infrastructure ML engineers optimizing LLM inference and multi-modal models and full-stack engineers crafting intuitive interfaces for creative collaboration.
- 5 years of programming with at least one software programming language experience
- 5 years of non-internship professional software development experience
- 5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience as a mentor tech lead or leading an engineering team
- 5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors 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 for more information. If the country/region youre applying in isnt 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 $151300/year in our lowest geographic market up to $261500/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
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