Description
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience in building large-scale machine-learning infrastructure and validating it in production
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 $129,300/year in our lowest geographic market up to $223,600/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.
Do you want to take on one of the most important engineering challenges shaping the future of movies, television, and digital video? Do you want to define the next generation of how and what Amazon customers are watching?
Prime Video (PV) is a premium streaming service that offers customers the greatest choices in what to watch, and how to watch it. PV delivers movies and TV shows instantly to TVs, tablets, game consoles and PCs worldwide. This is a young and evolving business within Amazon where creativity and drive can have a lasting impact on the way video is enjoyed worldwide. You will be encouraged to see the big picture, be creative, and positively impact millions of customers. We’re building the future of streaming - yes, it’s challenging, but it’s also a lot of fun!
The Prime Video (PV) Search Engineering team is looking for a Software Development Engineer with a strong technical background, experience in building large-scale machine learning models in a production environment, a passion for search technologies, information retrieval problems, and digital entertainment.
Key job responsibilities
You will join a team of passionate engineers and product owners who innovate and develop new ways to search for video content across Prime Video's expanding catalog. You will work with a team that is developing new customer facing AWS-based software platforms using the leverage the latest technologies including large language models and machine learning models. You will work with applied scientists to build ML-based solutions for ranking search results from multiple sources. You will learn how to work with (1) high volumes of data (2) use known models or optimized models (3) set up ML training infrastructure and (4) test and validate your changes in production worldwide. Finally, you will partner with senior leaders across the organization in developing a strategic vision for Prime Video, while also mentoring and developing a team of enthusiastic engineers.
To accomplish this, you will be expected to have an established background in building scalable systems, excellent people and program management skills, great communication skills, and a motivation to achieve results in a fast-paced environment. You should have experience developing and working with ML models, understanding their limitations and best practices. You should be comfortable working with large data sets and be able to quickly adapt to changing requirements. You should be somebody who enjoys working on complex system software, is customer-centric, and feels strongly about connecting customer problems through underlying scalable software that raises the bar on customer and operational goals. Experience with building web services-based applications, especially at massive scale, will be helpful.
A day in the life
* Collaborate with Applied Scientists to bring cutting-edge machine learning solutions to Production
* Learn and use AWS technologies
* Learn and introduce new ways to use machine learning in our services
* Discuss and design new product features
* Implement code and tests for a service
* Ensure operational readiness of a service
* Resolve impending issues before customers notice them
* Analyzing and processing large datasets
About the team
PV-Search Engineering has been formed to build a video-focused search infrastructure. Our vision is to make Prime Video applications the first choice for anyone to find, discover, and engage with any movie or TV show. Our team is working on improving the search results using state-of-the-art LLMs that can comprehend customer intent and provide meaningful responses to queries such as "movies where animals talk". As a team, we are working with a number of machine learning models that will be productinalized and continuously trained. Our space needs to handle challenges with latency, IMR, models training and benchmarking.
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience in building large-scale machine-learning infrastructure and validating it in production
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 $129,300/year in our lowest geographic market up to $223,600/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.
Do you want to take on one of the most important engineering challenges shaping the future of movies, television, and digital video? Do you want to define the next generation of how and what Amazon customers are watching?
Prime Video (PV) is a premium streaming service that offers customers the greatest choices in what to watch, and how to watch it. PV delivers movies and TV shows instantly to TVs, tablets, game consoles and PCs worldwide. This is a young and evolving business within Amazon where creativity and drive can have a lasting impact on the way video is enjoyed worldwide. You will be encouraged to see the big picture, be creative, and positively impact millions of customers. We’re building the future of streaming - yes, it’s challenging, but it’s also a lot of fun!
The Prime Video (PV) Search Engineering team is looking for a Software Development Engineer with a strong technical background, experience in building large-scale machine learning models in a production environment, a passion for search technologies, information retrieval problems, and digital entertainment.
Key job responsibilities
You will join a team of passionate engineers and product owners who innovate and develop new ways to search for video content across Prime Video's expanding catalog. You will work with a team that is developing new customer facing AWS-based software platforms using the leverage the latest technologies including large language models and machine learning models. You will work with applied scientists to build ML-based solutions for ranking search results from multiple sources. You will learn how to work with (1) high volumes of data (2) use known models or optimized models (3) set up ML training infrastructure and (4) test and validate your changes in production worldwide. Finally, you will partner with senior leaders across the organization in developing a strategic vision for Prime Video, while also mentoring and developing a team of enthusiastic engineers.
To accomplish this, you will be expected to have an established background in building scalable systems, excellent people and program management skills, great communication skills, and a motivation to achieve results in a fast-paced environment. You should have experience developing and working with ML models, understanding their limitations and best practices. You should be comfortable working with large data sets and be able to quickly adapt to changing requirements. You should be somebody who enjoys working on complex system software, is customer-centric, and feels strongly about connecting customer problems through underlying scalable software that raises the bar on customer and operational goals. Experience with building web services-based applications, especially at massive scale, will be helpful.
A day in the life
* Collaborate with Applied Scientists to bring cutting-edge machine learning solutions to Production
* Learn and use AWS technologies
* Learn and introduce new ways to use machine learning in our services
* Discuss and design new product features
* Implement code and tests for a service
* Ensure operational readiness of a service
* Resolve impending issues before customers notice them
* Analyzing and processing large datasets
About the team
PV-Search Engineering has been formed to build a video-focused search infrastructure. Our vision is to make Prime Video applications the first choice for anyone to find, discover, and engage with any movie or TV show. Our team is working on improving the search results using state-of-the-art LLMs that can comprehend customer intent and provide meaningful responses to queries such as "movies where animals talk". As a team, we are working with a number of machine learning models that will be productinalized and continuously trained. Our space needs to handle challenges with latency, IMR, models training and benchmarking.
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