Amazon
Machine Learning Engineer II, Search Quality
Amazon, Palo Alto, California, United States, 94306
Description
Come transform Amazon Search using Large Language Models (LLMs). We are building new to bring in a step change to both Amazon Rufus and Amazon Search.
You will innovate with your team to provide delightful answers to customers by incorporating world knowledge in matching and ranking models, and helping the models deeply understand semantic meaning in descriptive and conversational queries such as "light tent for snow camping with my son", “best toys for on the go” or “cheap plus size summer pajamas”.
Key job responsibilities
Design online ML systems and automated offline training pipelinesOptimize latency and throughput of production modelsImplement large scale data processing for model pre-training and fine-tuningScale inference to serve Amazon customers with tight SLAsWork closely with principal engineers and scientists to build systems that will stand the test of timeConduct A/B tests to measure customer impact of new models
About The Team
We are a collaborative team of machine learning engineers and scientists, responsible for Amazon Search quality world-wide.
Basic Qualifications
3+ years of non-internship professional software development experience2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experienceExperience programming with at least one software programming languageExperience in machine learning, data mining, information retrieval, statistics or natural language processing
Preferred Qualifications
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceBachelor'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. For individuals with disabilities who would like to request an accommodation, please visit
https://www.amazon.jobs/en/disability/us .
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.
Company
- Amazon.com Services LLC
Job ID: A2752318#J-18808-Ljbffr
Come transform Amazon Search using Large Language Models (LLMs). We are building new to bring in a step change to both Amazon Rufus and Amazon Search.
You will innovate with your team to provide delightful answers to customers by incorporating world knowledge in matching and ranking models, and helping the models deeply understand semantic meaning in descriptive and conversational queries such as "light tent for snow camping with my son", “best toys for on the go” or “cheap plus size summer pajamas”.
Key job responsibilities
Design online ML systems and automated offline training pipelinesOptimize latency and throughput of production modelsImplement large scale data processing for model pre-training and fine-tuningScale inference to serve Amazon customers with tight SLAsWork closely with principal engineers and scientists to build systems that will stand the test of timeConduct A/B tests to measure customer impact of new models
About The Team
We are a collaborative team of machine learning engineers and scientists, responsible for Amazon Search quality world-wide.
Basic Qualifications
3+ years of non-internship professional software development experience2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experienceExperience programming with at least one software programming languageExperience in machine learning, data mining, information retrieval, statistics or natural language processing
Preferred Qualifications
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceBachelor'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. For individuals with disabilities who would like to request an accommodation, please visit
https://www.amazon.jobs/en/disability/us .
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.
Company
- Amazon.com Services LLC
Job ID: A2752318#J-18808-Ljbffr