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Senior Applied Scientist
2 months ago
Job ID:
| Amazon Development Center U.S., Inc.
Join the AWS AI science team in developing advanced models for intelligent automation.
AWS Utility Computing (UC) is at the forefront of product innovations — from essential services like Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to a continuous stream of new product advancements that distinguish AWS's offerings in the market.
As a key member of the UC organization, you will contribute to the development and management of services across Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Applications within AWS, including specialized security solutions for clients utilizing cloud services.
AWS, recognized as a leading provider of cloud solutions, has been instrumental in the creation and expansion of numerous new enterprises, serving as a positive influence in the industry.
Our clients present challenges that offer Applied Scientists like you the chance to witness your research create meaningful and immediate impacts globally.
You will collaborate with technology and business teams to address real-world challenges, gaining access to vast data and computational resources, as well as world-class engineers and developers who can help realize your innovative ideas.
As part of our team, we anticipate that you will devise groundbreaking solutions to complex problems and share your research at peer-reviewed conferences and workshops.
We seek exceptional researchers with expertise in one or more of the following domains: autonomous agents, large multimodal models (particularly vision-language models), reinforcement learning (RL), and sequential decision-making.
BASIC QUALIFICATIONS: PhD or Master's degree with 6+ years of applied research experience.
- 3+ years of experience in developing machine learning models for business applications.
- Proficiency in programming languages such as Java, C++, Python, or similar.
- Experience with neural deep learning techniques and machine learning methodologies.
PREFERRED QUALIFICATIONS: Familiarity with modeling tools like R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy, etc.
- Experience with large-scale distributed systems such as Hadoop, Spark, etc.
Amazon is an equal opportunity employer and does not discriminate based on 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 visitOur compensation reflects the cost of labor across various 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 determined by several factors, including market location, and may vary based on job-related knowledge, skills, and experience.
Amazon is a total compensation company.Depending on the position offered, equity, sign-on bonuses, and other forms of compensation may be included as part of a total compensation package, alongside a comprehensive range of medical, financial, and/or other benefits.
For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.Posted:
July 28, 2024 (Updated about 21 hours ago)
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