Amazon Amazon Postdoctoral Scientist Perfect Order 

United States, California 

959341374

AWS AI/ML is looking for a talented Postdoctoral Scientist to join its AI Research and Education group working on foundation models, large-scale representation learning, and distributed learning methods and systems for a one-year, full-time research position. At AWS AI/ML you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and innovate on new representation learning solutions. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas:
* Hardware-informed efficient model architecture, training objective and curriculum design
* Distributed training, accelerated optimization methods
* Continual learning, multi-task/meta learning
* Reasoning, interactive learning, reinforcement learning
* Robustness, privacy, model watermarking
* Model compression, distillation, pruning, sparsification, quantizationIn this role, you will have the opportunity to:
- Leverage advanced statistical techniques and machine learning models to extract valuable insights from historical data and comparable item information.
- Tackle data scarcity challenges by developing innovative approaches to maximize the utility of available data sources.Key job responsibilities
In this role you will:• Publish your innovation in top-tier academic venues and hone your presentation skills.
• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.Work/Life Balance
Mentorship & Career Growth
Santa Clara, CA, USA

Basic qualifications include:
- PhD in a relevant field, received within 2 years of starting the program
- Proven publication record in Machine Learning, Computer Science, Computer Engineering, or other related technical fields
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
-Experience programming in Java, C++, Python or related language

Postdocs demonstrate the following preferred job qualifications:
- Ability to independently deliver results in a fast-paced environment
- Publications at top-tier, peer-reviewed conferences and/or journals
- Exceptional verbal and written communication skills
- Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies
Required application materials:
- CV, which lists all peer-reviewed publications and conferences,
- Research statement that outlines your research achievements and future research interests, and
- A journal article or book chapter that demonstrates your domain expertise.