Machine Learning Engineer, MLE II, QuickSight
Machine Learning Engineer, MLE II, QuickSight
Posted on :
13-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 129300 - 223600
Vacancy
1 Vacancy
Posted on :
13-05-2025
Job Description
Interested in applied ML using latest developments in Large Language Models and Natural Language Processing We are a team creating innovations and working on continuous waves of new products to help our customers in this space. Ask a question on your data and you get an answer in seconds thats the magic of Q! Amazon Q in QuickSight is a machine learning powered NLQ capability that allows business users to ask any question in natural language about their data and get the answer in seconds. Help us build the next evolution of Generative BI using latest Large Language Models (LLMs) and applied Machine Learning.
As a Machine Learning Engineer you will be working on projects that are both ambiguous interesting and involves a high impact to our customers. You will use machine learning to solve reallife problems our customers face and enable them to make datadriven decisions. You will also envision solutions that help our customers understand how Q answers their questions while also creating new avenues for them to further explore their data. The opportunities are endless!
If this is you we are looking forward to having you join our team and design build innovative products and help lead a team that is working towards fundamental changes in the industry!
Amazon QuickSight is a fast cloudpowered BI service that makes it easy to build visualizations perform adhoc analysis and quickly get business insights from your data. QuickSight is revolutionizing Business Intelligence by empowering anyone to use the power of machine learning and Amazon AI to enhance their understanding of data.
Inclusive Team Culture
Here at AWS we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employeeled affinity groups reaching 40000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazons culture of inclusion is reinforced within our 16 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.
Work/Life Balance
Our team puts a high value on worklife balance. It isnt about how many hours you spend at home or at work; its about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to lifelong happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a betterrounded professional and enable them to take on more complex tasks in the future.
Key job responsibilities
Understand business objectives product requirements and develop ML algorithms that achieve them.
Build Prototypes POC to determine feasibility.
Run experiments to assess performance and improvements.
Provide ideas and alternatives to drive a product/feature.
Define data and feature validation strategies
Deploy models to production systems and operate them including monitoring and troubleshooting
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
Experience in machine learning data mining information retrieval statistics or natural language processing
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 an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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.
As a Machine Learning Engineer you will be working on projects that are both ambiguous interesting and involves a high impact to our customers. You will use machine learning to solve reallife problems our customers face and enable them to make datadriven decisions. You will also envision solutions that help our customers understand how Q answers their questions while also creating new avenues for them to further explore their data. The opportunities are endless!
If this is you we are looking forward to having you join our team and design build innovative products and help lead a team that is working towards fundamental changes in the industry!
Amazon QuickSight is a fast cloudpowered BI service that makes it easy to build visualizations perform adhoc analysis and quickly get business insights from your data. QuickSight is revolutionizing Business Intelligence by empowering anyone to use the power of machine learning and Amazon AI to enhance their understanding of data.
Inclusive Team Culture
Here at AWS we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employeeled affinity groups reaching 40000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazons culture of inclusion is reinforced within our 16 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.
Work/Life Balance
Our team puts a high value on worklife balance. It isnt about how many hours you spend at home or at work; its about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to lifelong happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a betterrounded professional and enable them to take on more complex tasks in the future.
Key job responsibilities
Understand business objectives product requirements and develop ML algorithms that achieve them.
Build Prototypes POC to determine feasibility.
Run experiments to assess performance and improvements.
Provide ideas and alternatives to drive a product/feature.
Define data and feature validation strategies
Deploy models to production systems and operate them including monitoring and troubleshooting
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
Experience in machine learning data mining information retrieval statistics or natural language processing
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 an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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
Key Skills
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