Amazon
Senior Applied Scientist, AWS Identity
Amazon, Seattle, Washington, us, 98127
Job ID: 2831210 | Amazon Web Services, Inc.The Automated Reasoning & Identity Science team at AWS is looking for a passionate, talented, and inventive scientist with a strong machine learning background. In this role, you will help build transformative solutions for security and access management, by developing state of the technology in machine learning, generative AI and foundational models. Your experience with anomaly detection, classification systems, model development and fine tuning will set you up for success in this role.
Key Job Responsibilities
You will define the scientific roadmap, identify relevant data, propose innovative machine learning solutions, conduct rigorous experiments, publish results, and work with the engineering team to deploy these solutions.You will identify investment opportunities, develop long term strategies, and propose, prioritize, and deliver on goals. You’ll also participate in organizational planning, hiring, mentorship, and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).
About the Team
The Automated Reasoning & Identity Science team is working on products and services that help customers with access management and security and partner with science teams in AWS Identity and Amazon GuardDuty.
Basic Qualifications
3+ years of building machine learning models for business application experienceExperience programming in Java, C++, Python or related languagePhD, or Master's degree and 6+ years of applied research experiencePreferred Qualifications
Experience with neural deep learning methods and machine learningExperience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalabilityAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
https://www.amazon.jobs/en/disability/us .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.Posted:
October 4, 2024 (Updated 1 day ago)
#J-18808-Ljbffr
Key Job Responsibilities
You will define the scientific roadmap, identify relevant data, propose innovative machine learning solutions, conduct rigorous experiments, publish results, and work with the engineering team to deploy these solutions.You will identify investment opportunities, develop long term strategies, and propose, prioritize, and deliver on goals. You’ll also participate in organizational planning, hiring, mentorship, and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).
About the Team
The Automated Reasoning & Identity Science team is working on products and services that help customers with access management and security and partner with science teams in AWS Identity and Amazon GuardDuty.
Basic Qualifications
3+ years of building machine learning models for business application experienceExperience programming in Java, C++, Python or related languagePhD, or Master's degree and 6+ years of applied research experiencePreferred Qualifications
Experience with neural deep learning methods and machine learningExperience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalabilityAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
https://www.amazon.jobs/en/disability/us .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.Posted:
October 4, 2024 (Updated 1 day ago)
#J-18808-Ljbffr