Applied Scientist, Store Foundational AI - M5

Applied Scientist, Store Foundational AI - M5

Job ID : 2613113 Amazon.com Services LLC

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 :

The following information aims to provide potential candidates with a better understanding of the requirements for this role.

• 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 we build foundational ML models that can serve different business lines.

This is a unique opportunity to get in on the ground floor, shape, and build the next-generation of Amazon ML. 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. Build foundational ML models that can be applied to different business applications in Amazon such as Search and Ads.

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.

We are open to hiring candidates to work out of one of the following locations :

Palo Alto, CA, USA Seattle, WA, USA

BASIC QUALIFICATIONS

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas : algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

• Experience in professional software development
• Have publications at top-tier peer-reviewed conferences or journals
• Have experience of large language models, and domain knowledge in Search and Ads system.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000 / year in our lowest geographic market up to $222,200 / 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.

For more information, please visit https : / / www.aboutamazon.com / workplace / employee-benefits. This position will remain posted until filled.

Applicants should apply via our internal or external career site.

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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.

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