Senior Applied Scientist, Agentic AI, AWS Agentic AI

Amazon; Seattle (WA); On-site; USD 150,000 - 260,000; Full time

Job summary

Join a forward-thinking company as a Senior Applied Scientist in the AWS AI science team, where you will play a pivotal role in shaping the future of intelligent automation. This position offers the chance to work with cutting-edge technology and collaborate with world-class engineers and researchers. You will have access to vast data and computational resources, allowing you to develop innovative solutions to complex problems and publish your findings at prestigious conferences. If you are passionate about AI and eager to make a tangible impact, this opportunity is perfect for you.

Benefits

Equity options

Comprehensive medical benefits

Flexible working hours

Employee discounts

Wellness programs

Retirement savings plan

Paid time off

Professional development opportunities

Work-life balance initiatives

Diversity and inclusion programs

Qualifications

• 3+ years of experience in building machine learning models for business applications.
• PhD or Master's with 6+ years of applied research experience required.

Responsibilities

• Develop innovative solutions to complex problems in AI and automation.
• Collaborate with technology and business teams to solve real-world challenges.

Skills

Machine Learning

Programming in Java

Programming in C++

Programming in Python

Reinforcement Learning

Neural Deep Learning Methods

API Orchestration

Planning

Large Multimodal Models

Sequential Decision Making

Education

PhD

Master's degree

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Job description

Senior Applied Scientist, Agentic AI, AWS Agentic AI

Job ID: 2941585 | Amazon Development Center U.S., Inc.

Come join the AWS AI science team in building the next generation models for intelligent automation.

AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.

We are looking for world class researchers with experience in one or more of the following areas: autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.

About the team

Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

BASIC QUALIFICATIONS

1. 3+ years of building machine learning models for business application experience
2. PhD, or Master's degree and 6+ years of applied research experience
3. Experience programming in Java, C++, Python or related language
4. Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

1. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
2. Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon 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.

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 this link for more information.

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 this link.

This position will remain posted until filled. Applicants should apply via our internal or external career site.