Machine Learning Engineer AGI Info - Web Knowledge Services
Machine Learning Engineer AGI Info - Web Knowledge Services
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 129300 - 223600
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
Amazons Artificial General Intelligence (AGI) Team is responsibly advancing the companys generative AI technologies including Amazons most expansive multimodal Large Language Models. We are looking for a motivated Machine Learning Engineer that will join our mission by building highly scalable resilient and performant training code systems and infrastructure. You will work in close collaboration with data scientists and research teams to productionize ML models.
Key job responsibilities
Design develop and maintain ML model serving infrastructure to enable highthroughput lowlatency entity resolution predictions in production environments
Collaborate with applied scientists to productionize research models including implementing model improvements and new architectures for entity matching and deduplication
Develop efficient data processing pipelines to handle largescale training and inference data for entity resolution models
Support experimentation and A/B testing infrastructure to evaluate model improvements
Work closely with downstream engineering teams to integrate entity resolution capabilities into various product surfaces
Participate in code reviews technical design discussions and sprint planning to ensure high quality software delivery
Strong understanding of ML fundamentals and common optimization techniques
Experience with data processing and ETL pipelines at scale
Proven track record of collaborating with data scientists and research teams to productionize ML models
3 years of noninternship professional software development experience
2 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
3 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 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 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.
Key job responsibilities
Design develop and maintain ML model serving infrastructure to enable highthroughput lowlatency entity resolution predictions in production environments
Collaborate with applied scientists to productionize research models including implementing model improvements and new architectures for entity matching and deduplication
Develop efficient data processing pipelines to handle largescale training and inference data for entity resolution models
Support experimentation and A/B testing infrastructure to evaluate model improvements
Work closely with downstream engineering teams to integrate entity resolution capabilities into various product surfaces
Participate in code reviews technical design discussions and sprint planning to ensure high quality software delivery
Strong understanding of ML fundamentals and common optimization techniques
Experience with data processing and ETL pipelines at scale
Proven track record of collaborating with data scientists and research teams to productionize ML models
3 years of noninternship professional software development experience
2 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
3 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 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 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
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