Job Description
Profile insights
Here’s how the job qualifications align with your profile.
Skills
AI
(Required)
Software development
SDLC
+ show more
Do you have experience in AI?
Education
Bachelor's degree
Job details
Here’s how the job details align with your profile.
Pay
$129,300 - $223,600 a year
Full job description
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 Amazon's 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. We're 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
BASIC QUALIFICATIONS
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
Bachelor's degree or equivalent
PREFERRED QUALIFICATIONS
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $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.
Job details
USA, WA, Seattle
Software Development
Here’s how the job qualifications align with your profile.
Skills
AI
(Required)
Software development
SDLC
+ show more
Do you have experience in AI?
Education
Bachelor's degree
Job details
Here’s how the job details align with your profile.
Pay
$129,300 - $223,600 a year
Full job description
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 Amazon's 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. We're 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
BASIC QUALIFICATIONS
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
Bachelor's degree or equivalent
PREFERRED QUALIFICATIONS
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $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.
Job details
USA, WA, Seattle
Software Development
💡 Quick Summary
Seeking a career-building opportunity? The Machine Learning Engineer, Workforce Intelligence powered by Scientific Engineering position is now open for candidates interested in the Mechanic Jobs sector. This role in Seattle offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Mechanic Jobs is a plus.
