Amazon is the 4th most popular site in the US. Our product search engine is one of the most heavily used services in the world, indexes billions of products, and serves hundreds of millions of customers world-wide.
We are working on a new AI-first initiative to re-architect and reinvent the way we do search through the use of extremely large scale next-generation deep learning techniques.
Our goal is to make step function improvements in the use of advanced Machine Learning (ML) on very large scale datasets, specifically through the use of aggressive systems engineering and hardware accelerators.
This is a rare opportunity to develop cutting edge ML solutions and apply them to a problem of this magnitude. Some exciting questions that we expect to answer over the next few years include :
- Can combining supervised multi-task training with unsupervised training help us to improve model accuracy?
- Can we transfer our knowledge of the customer to every language and every locale ?
- Can a focus on compilers and custom hardware help us accelerate model training and reduce hardware costs?
This is a unique opportunity to get in on the ground floor, shape, and build the next-generation of Amazon Search. We are looking for exceptional scientists and ML engineers who are passionate about innovation and impact, and want to work in a team with a startup culture within a larger organization.
Key job responsibilities
Train large deep learning models with hundreds of billions parameters. Set science directions for the team, in areas such as efficient model architecture, training and data optimization / scaling, model / data / pipeline parallel techniques, and much more.
BASIC QUALIFICATIONS
- 5+ years of applied research experience
- 5+ years of building machine learning models for business application experience
- PhD, or Master's degree and 10+ years of applied research 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.
- Experience with professional software development
- Publications at top-tier peer-reviewed conferences or journals
- Experience with developing large language models, and domain knowledge in Search and Ads system
Senior AI Research Scientist
A company is looking for a Sr AI Research Scientist I - Computer Vision. ...
Search & Rescue
Upon completion of initial training at Recruit Training Command Great Lakes (known as Boot Camp), those pursuing an Aircrewman role undergo the following training pipeline:. Saving the crew of downed aircraft, people aboard stranded or capsized vessels at sea, or hikers and mountain climbers in dang...
Senior Applied Scientist, Amazon Search
As an Applied Scientist, you will be working closely with a team of applied scientists and engineers to build systems that shape the future of Amazon's shopping experience by automatically generating relevant content and building a whole page experience that is coherent, dynamic, and interesting. We...
Data Analytics & Technologies Senior Manager - Healthcare, Pharma & Life Sciences
We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Understanding of how advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process are leveraged and delivered in pharma, li...
Senior Applied Scientist, Artificial General Intelligence
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems. As a Senior Applied Scientist with ...
Senior Generative AI Data Scientist, Amazon SageMaker
Are you passionate about Generative AI (GenAI)? Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help some of our largest customers build and deploy GenAI enabled applications using Amazon SageMaker, fine tune and build Generative AI mode...
Applied Scientist, Conversational AI ModEling and Learning
As an Applied Scientist, you will leverage your technical expertise and experience to collaborate with other talented applied scientists and engineers to research and develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversations. Conversational A...
Senior Software Engineer - OCI Horizon Data Science & Analytics
Our team (OCI Horizon Data Science & Analytics team) is mainly passionate about developing analytics and machine learning solutions and applications that lead to actionable insights and inform decisions that affect nearly every aspect of the OCI business: engineering, support, operations, finance, a...
Aviation Maintenance Technician and Inspector - AOG - 92309
In this role you will perform production installations, maintenance, preventative maintenance, alterations and quality assurance on aircraft structure, systems and sub-systems, including electrical and avionics on standard or experimental certificated aircraft. Perform Aviation Maintenance Technicia...
Senior Data/AI Scientist (Fabric)
Researches and maintains deep knowledge of AI industry trends, technologies, and advances. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e. OR Master's Degree in Data Scienc...