Senior Applied Scientist - GenAI, Trust and Store Integrity Science
Amazon
Senior Applied Scientist - GenAI, Trust and Store Integrity Science
Job Description
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment?If yes, then you may be a great fit to join the Amazon Selling Partner Trust & Store Integrity Science Team. We are looking for a talented scientist who is passionate to build advanced machine learning systems that help manage the safety of millions of transactions every day and scale up our operation with automation.Key job responsibilities- Innovate with the latest GenAI/LLM/VLM technology to build highly automated solutions for efficient risk evaluation and automated operations- Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to create impactful business value- Learn, explore and experiment with the latest machine learning advancements to create the best customer experienceA day in the lifeyou will be working within a dynamic, diverse, and supportive group of scientists who share your passion for innovation and excellence. You'll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation. You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the team's success.
Locations
- United States, WA, Seattle, Seattle, WA, United States
Salary
Estimated Salary Rangehigh confidence
185,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 4+ years of applied research experienceintermediate
- - 3+ years of building machine learning models for business application experienceintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
- - PhD, or Master's degree and 6+ years of applied research experienceintermediate
Required Qualifications
- - 4+ years of applied research experience (experience, 4 years)
- - 3+ years of building machine learning models for business application experience (experience, 3 years)
- - Experience programming in Java, C++, Python or related language (experience)
- - PhD, or Master's degree and 6+ years of applied research experience (experience, 6 years)
- - Deep expertise in computer vision, natural language processing and generative AI technologies (experience)
Preferred Qualifications
- - Track record of leading large-scale AI transformation projects, and strong publication record in top-tier conferences/journals such as CVPR, NeuIPS, ICML, ACL, EMNLP (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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. (experience)
Responsibilities
- - Innovate with the latest GenAI/LLM/VLM technology to build highly automated solutions for efficient risk evaluation and automated operations
- - Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to create impactful business value
- - Learn, explore and experiment with the latest machine learning advancements to create the best customer experience
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Senior Applied Scientist - GenAI, Trust and Store Integrity Science
Amazon
Senior Applied Scientist - GenAI, Trust and Store Integrity Science
Job Description
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment?If yes, then you may be a great fit to join the Amazon Selling Partner Trust & Store Integrity Science Team. We are looking for a talented scientist who is passionate to build advanced machine learning systems that help manage the safety of millions of transactions every day and scale up our operation with automation.Key job responsibilities- Innovate with the latest GenAI/LLM/VLM technology to build highly automated solutions for efficient risk evaluation and automated operations- Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to create impactful business value- Learn, explore and experiment with the latest machine learning advancements to create the best customer experienceA day in the lifeyou will be working within a dynamic, diverse, and supportive group of scientists who share your passion for innovation and excellence. You'll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation. You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the team's success.
Locations
- United States, WA, Seattle, Seattle, WA, United States
Salary
Estimated Salary Rangehigh confidence
185,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 4+ years of applied research experienceintermediate
- - 3+ years of building machine learning models for business application experienceintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
- - PhD, or Master's degree and 6+ years of applied research experienceintermediate
Required Qualifications
- - 4+ years of applied research experience (experience, 4 years)
- - 3+ years of building machine learning models for business application experience (experience, 3 years)
- - Experience programming in Java, C++, Python or related language (experience)
- - PhD, or Master's degree and 6+ years of applied research experience (experience, 6 years)
- - Deep expertise in computer vision, natural language processing and generative AI technologies (experience)
Preferred Qualifications
- - Track record of leading large-scale AI transformation projects, and strong publication record in top-tier conferences/journals such as CVPR, NeuIPS, ICML, ACL, EMNLP (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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. (experience)
Responsibilities
- - Innovate with the latest GenAI/LLM/VLM technology to build highly automated solutions for efficient risk evaluation and automated operations
- - Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to create impactful business value
- - Learn, explore and experiment with the latest machine learning advancements to create the best customer experience
Tags & Categories
Answer 10 quick questions to check your fit for Senior Applied Scientist - GenAI, Trust and Store Integrity Science @ Amazon.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs