Applied Scientist III, Amazon Q

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

Job summary

Join a forward-thinking company as part of a team dedicated to building the next generation of multi-modal AI agents. This role offers a unique opportunity to apply your expertise in machine learning and AI to solve real-world challenges, while collaborating with talented engineers and researchers. You'll have access to vast data resources and the chance to publish your work in prestigious venues. With a strong commitment to work-life balance and a culture of inclusion, this innovative firm is ready to support your career growth and aspirations in the rapidly evolving tech landscape. If you're passionate about making a difference through technology, this position is for you.

Benefits

Flexible work hours

Mentorship programs

Health insurance

Career advancement resources

Qualifications

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

Responsibilities

• Develop innovative solutions for real-world problems using AI.
• Publish findings at peer-reviewed conferences and workshops.

Skills

Machine Learning

Programming in Java

Programming in C++

Programming in Python

Neural Deep Learning Methods

Reinforcement Learning

Education

PhD

Master's degree

Tools

R

scikit-learn

Spark MLLib

MxNet

Tensorflow

numpy

scipy

Hadoop

Spark

Job description

Job ID: 2933373 | Amazon Web Services, Inc.

Come join the AWS Q science team in building the next generation of multi-modal AI Agents for intelligent automation and navigation.

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, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.

We are located in the USA (Seattle, Pasadena, Bay Area).

About the team

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

BASIC QUALIFICATIONS

1. PhD, or Master's degree and 6+ years of applied research experience
2. 3+ years of building machine learning models for business application 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.

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.