Amazon
Machine Learning Engineer II, Search Quality
Amazon, Seattle, Washington, us, 98127
Machine Learning Engineer II, Search Quality
Come transform Amazon Search using Large Language Models (LLMs). We are building new systems to bring 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 pipelines.Optimize latency and throughput of production models.Implement large scale data processing for model pre-training and fine-tuning.Scale inference to serve Amazon customers with tight SLAs.Work closely with principal engineers and scientists to build systems that will stand the test of time.Conduct 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 worldwide.Minimum qualifications:3+ years of non-internship professional software development experience.2+ years of non-internship design or architecture experience (design patterns, reliability and scaling) of new and existing systems.Experience programming with at least one software programming language.Experience in machine learning, data mining, information retrieval, statistics or natural language processing.3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.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. For individuals with disabilities who would like to request an accommodation, please visit
this link .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.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.This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Come transform Amazon Search using Large Language Models (LLMs). We are building new systems to bring 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 pipelines.Optimize latency and throughput of production models.Implement large scale data processing for model pre-training and fine-tuning.Scale inference to serve Amazon customers with tight SLAs.Work closely with principal engineers and scientists to build systems that will stand the test of time.Conduct 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 worldwide.Minimum qualifications:3+ years of non-internship professional software development experience.2+ years of non-internship design or architecture experience (design patterns, reliability and scaling) of new and existing systems.Experience programming with at least one software programming language.Experience in machine learning, data mining, information retrieval, statistics or natural language processing.3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.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. For individuals with disabilities who would like to request an accommodation, please visit
this link .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.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.This position will remain posted until filled. Applicants should apply via our internal or external career site.
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