Software Dev Engineer ML Infra Amazon Search
Software Dev Engineer ML Infra Amazon Search
Posted on :
14-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 129300 - 223600
Vacancy
1 Vacancy
Posted on :
14-04-2025
Job Description
The Amazon Search team owns the software that powers Search a critical customerfocused feature of Amazon. Whenever you visit an Amazon site anywhere in the world its our technology that delivers relevant search results to you. Our services are used by millions of Amazon customers every day.
The Search Engine Infrastructure team is responsible for the largescale distributed software systems that power those results. We design build and operate high performance fault tolerant software services that apply the latest technologies to solve customer problems. As part of this vision we are building the infrastructure to enable next generation Deeplearningbased relevance ranking which can be deployed quickly and reliably with the ability to analyze model and system performance in production. We focus on high availability and frugally serving billions of requests per day with low latency. We work alongside applied scientists and ML engineers to make this happen.
Joining this team youll experience the benefits of working in a dynamic entrepreneurial environment while leveraging the resources of Amazon (AMZN) one of the worlds leading internet companies. We provide a highly customercentric teamoriented environment in our offices located in Palo Alto California.
Key job responsibilities
As a member of this team you will:
1. Evolve a sophisticated deeplearning ranking system and feature store deployed across thousands of machines in AWS serving billions of queries at tens of millisecond latencies.
2. Immerse yourself in imagining and providing innovative solutions to largescale information retrieval and machine learning (ML/DL) problems.
3. Have a relentless focus on scalability latency performance robustness and cost tradeoffs especially those present in highly virtualized elastic cloudbased environments.
4. Conduct and automate performance testing of the model serving system to evaluate different hardware options (including GPUs and specialized accelerators such as AWS Inferentia2 model architectures and serving configurations.
5. Implement and enhance a rapid experimentation framework to test ranking hypotheses.
6. Create mechanisms to ensure models work as expected in production.
7. Work closely with applied scientists to determine the requirements for deploying ranking models in production environments.
3 years of noninternship professional software development experience
Bachelors degree in computer science or equivalent
Experience implementing largescale lowlatency distributed systems and working with scalable algorithms utilizing large amounts of data.
Experience in large scale AI and ML infrastructure and in machine learning technologies including or similar to PyTorch TensorRT AWS Inferentia Triton Inference Server etc.
Experience writing production code for services that utilize Machine Learning or Information Retrieval algorithms.
3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Masters degree in computer science or equivalent
Polished communication skills with the ability to communicate with confidence clarity and focus
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $129300/year in our lowest geographic market up to $223600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
The Search Engine Infrastructure team is responsible for the largescale distributed software systems that power those results. We design build and operate high performance fault tolerant software services that apply the latest technologies to solve customer problems. As part of this vision we are building the infrastructure to enable next generation Deeplearningbased relevance ranking which can be deployed quickly and reliably with the ability to analyze model and system performance in production. We focus on high availability and frugally serving billions of requests per day with low latency. We work alongside applied scientists and ML engineers to make this happen.
Joining this team youll experience the benefits of working in a dynamic entrepreneurial environment while leveraging the resources of Amazon (AMZN) one of the worlds leading internet companies. We provide a highly customercentric teamoriented environment in our offices located in Palo Alto California.
Key job responsibilities
As a member of this team you will:
1. Evolve a sophisticated deeplearning ranking system and feature store deployed across thousands of machines in AWS serving billions of queries at tens of millisecond latencies.
2. Immerse yourself in imagining and providing innovative solutions to largescale information retrieval and machine learning (ML/DL) problems.
3. Have a relentless focus on scalability latency performance robustness and cost tradeoffs especially those present in highly virtualized elastic cloudbased environments.
4. Conduct and automate performance testing of the model serving system to evaluate different hardware options (including GPUs and specialized accelerators such as AWS Inferentia2 model architectures and serving configurations.
5. Implement and enhance a rapid experimentation framework to test ranking hypotheses.
6. Create mechanisms to ensure models work as expected in production.
7. Work closely with applied scientists to determine the requirements for deploying ranking models in production environments.
3 years of noninternship professional software development experience
Bachelors degree in computer science or equivalent
Experience implementing largescale lowlatency distributed systems and working with scalable algorithms utilizing large amounts of data.
Experience in large scale AI and ML infrastructure and in machine learning technologies including or similar to PyTorch TensorRT AWS Inferentia Triton Inference Server etc.
Experience writing production code for services that utilize Machine Learning or Information Retrieval algorithms.
3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Masters degree in computer science or equivalent
Polished communication skills with the ability to communicate with confidence clarity and focus
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $129300/year in our lowest geographic market up to $223600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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