Machine Learning Engineer, Workforce Intelligence powered by Scientific Engineering
Machine Learning Engineer, Workforce Intelligence powered by Scientific Engineering
Posted on :
05-07-2025
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1 Vacancy
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Job Description
Success in any organization begins with its people and having a comprehensive understanding of our workforce and how we best utilize their unique skills and experience is paramount to our future success. WISE (Workforce Intelligence powered by Scientific Engineering) delivers the scientific and engineering foundation that powers Amazons enterprise-wide workforce planning ecosystem. Addressing the critical need for precise workforce planning WISE enables a closed-loop mechanism essential for ensuring Amazon has the right workforce composition organizational structure and geographical footprint to support long-term business needs with a sustainable cost structure.
We are looking for a passionate talented and inventive Machine Learning Engineer (MLE) to join our ML/AI team to work on Advanced Optimization and LLM solutions. You will partner with Applied Scientists Software Engineers Data Engineers TPMs Product Managers and Senior Management to help create world-class solutions. Were looking for people who are passionate about innovating on behalf of customers demonstrate a high degree of product ownership and want to have fun while they make history. You will leverage your knowledge in ML/AI to work with other engineers to investigate design approaches prototype new technology and evaluate technical feasibility. You will have end-to-end ownership of operational and technical aspects of the insights you are building for the business and will play an integral role in strategic decision-making. Your expertise will be invaluable in defining data strategies enrichment processes model optimizations and evaluation methods that will set new standards in the industry!
Key job responsibilities
- Work closely with Applied scientists to process data scale machine learning models while optimizing
- drive crisp and timely execution of milestones consider and advise on key design and technology trade-offs with engineering teams
- define implement and continuously improve delivery and operational efficiency
- interface with and influence your stakeholders balancing business needs vs. technical constraints and driving clarity in ambiguous situations
- develop and monitor model health metrics anticipate and clear blockers manage escalations
- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelors degree or equivalent
- 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 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
We are looking for a passionate talented and inventive Machine Learning Engineer (MLE) to join our ML/AI team to work on Advanced Optimization and LLM solutions. You will partner with Applied Scientists Software Engineers Data Engineers TPMs Product Managers and Senior Management to help create world-class solutions. Were looking for people who are passionate about innovating on behalf of customers demonstrate a high degree of product ownership and want to have fun while they make history. You will leverage your knowledge in ML/AI to work with other engineers to investigate design approaches prototype new technology and evaluate technical feasibility. You will have end-to-end ownership of operational and technical aspects of the insights you are building for the business and will play an integral role in strategic decision-making. Your expertise will be invaluable in defining data strategies enrichment processes model optimizations and evaluation methods that will set new standards in the industry!
Key job responsibilities
- Work closely with Applied scientists to process data scale machine learning models while optimizing
- drive crisp and timely execution of milestones consider and advise on key design and technology trade-offs with engineering teams
- define implement and continuously improve delivery and operational efficiency
- interface with and influence your stakeholders balancing business needs vs. technical constraints and driving clarity in ambiguous situations
- develop and monitor model health metrics anticipate and clear blockers manage escalations
- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelors degree or equivalent
- 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 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
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