Applied Scientist III

Amazon
Seattle, Washington, US
$150.4K a year
Full-time
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Job ID : 2712588 Amazon Development Center U.S., Inc.

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

Scroll down for a complete overview of what this job will require Are you the right candidate for this opportunity

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.

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).

BASIC QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.
  • 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.

For individuals with disabilities who would like to request an accommodation, please visit https : / / www.amazon.jobs / en / disability / us.

  • Los Angeles County applicants : Job duties for this position include : work safely and cooperatively with other employees, supervisors, and staff;
  • adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service;

and follow all federal, state, and local laws and Company policies.

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.

Posted : October 14, 2024 (Updated 1 day ago)

Posted : October 21, 2024 (Updated 1 day ago)

Posted : October 25, 2024 (Updated 1 day ago)

Posted : September 23, 2024 (Updated 1 day ago)

Posted : October 21, 2024 (Updated 1 day ago)

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5 days ago
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