Amazon
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Machine Learning Engineer II, Special Projects
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Amazon Join to apply for the
Machine Learning Engineer II, Special Projects
role at
Amazon Get AI-powered advice on this job and more exclusive features. Description
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the next level. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. Description
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the next level. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you.
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s 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.
Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.
Key job responsibilities
Ability to quickly learn state of the art technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs. Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications. Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility. Work closely with Applied scientists to process massive data, scale machine learning models while optimizing. Experience in distributed model training
Basic Qualifications
2+ 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
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.
Company
- Amazon.com Services LLC
Job ID: A3019410 Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology, Consulting, and Engineering Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x Get notified about new Machine Learning Engineer jobs in
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Machine Learning Engineer II, Special Projects
role at
Amazon Join to apply for the
Machine Learning Engineer II, Special Projects
role at
Amazon Get AI-powered advice on this job and more exclusive features. Description
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the next level. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. Description
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the next level. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you.
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s 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.
Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.
Key job responsibilities
Ability to quickly learn state of the art technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs. Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications. Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility. Work closely with Applied scientists to process massive data, scale machine learning models while optimizing. Experience in distributed model training
Basic Qualifications
2+ 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
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.
Company
- Amazon.com Services LLC
Job ID: A3019410 Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology, Consulting, and Engineering Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x Get notified about new Machine Learning Engineer jobs in
Seattle, WA . Software Engineer, Credit Card and SoFi Money
Seattle, WA $105,600.00-$198,000.00 1 month ago Seattle, WA $99,500.00-$187,000.00 1 week ago Seattle, WA $100,000.00-$220,000.00 5 months ago Software Developer-Artificial Intelligent/Machine Learning
Seattle, WA $158,200.00-$185,000.00 3 weeks ago Bellevue, WA $130,000.00-$170,000.00 1 month ago Seattle, WA $112,725.00-$177,840.00 1 day ago Seattle, WA $176,600.00-$225,900.00 3 days ago Seattle, WA $167,000.00-$185,500.00 2 weeks ago Machine Learning Engineer, Monetization Engineering
Bellevue, WA $145,000.00-$204,000.00 2 weeks ago Seattle, WA $147,000.00-$259,000.00 1 week ago Machine Learning Engineer, Core Engineering
Seattle, WA $140,000.00-$220,000.00 3 weeks ago Machine Learning Engineer Graduate (TikTok E-Commerce - Conversational AI)-2025 Start (BS/MS)
Seattle, WA $112,725.00-$177,840.00 3 weeks ago Machine Learning Engineer, Payments ML Accelerator
Seattle, WA $212,000.00-$318,000.00 1 day ago Bellevue, WA $147,000.00-$259,000.00 1 week ago Machine Learning Engineer, Forecast Platform
Seattle, WA $112,725.00-$177,840.00 1 day ago Seattle, WA $100,000.00-$720,000.00 1 week ago Bellevue, WA $71,200.00-$127,200.00 3 weeks ago Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)- 2025 Start (MS)
Seattle, WA $112,725.00-$177,840.00 2 weeks ago Seattle, WA $180,000.00-$264,000.00 19 hours ago Machine Learning Engineer Intern (E-commerce-Recommendation) - 2025 Summer/Fall (BS/MS)
Data Scientist, Energy Analytics, Google Cloud
Seattle, WA $166,000.00-$244,000.00 1 day ago Greater Seattle Area $155,000.00-$175,000.00 14 hours ago Bellevue, WA $56.25-$173,000.00 2 weeks ago Redmond, WA $56.25-$173,000.00 2 weeks ago Seattle, WA $56.25-$173,000.00 2 weeks ago Seattle, WA $70.67-$208,000.00 2 weeks ago [HackerRank]Software Engineer Graduate (E-commerce Recommendation Infrastructure) - 2025 Start (BS/MS)
Seattle, WA $112,725.00-$177,840.00 1 week ago Machine Learning Engineer Intern (TikTok-Recommendation) - 2025 Fall (BS/MS)
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr