Easter Seals Jobs

Description

On every page at Amazon, we need to decide what content would be most helpful to customers - ranging from automated recommendations to manual merchandising to navigational or informational content, etc. What do we show to customers to help them make shopping decisions and help them discover more parts of Amazon's vast catalog? In Personalization, we rely heavily on A/B testing to answer this question by running experiments on some of Amazon’s most prominent and valuable pages.

About our team:

We are the Core Recommendations team under Personalization. We are heavily data-driven, and focus on analyzing existing customer metrics around customer engagement and identifying possible improvements. We then prototype novel features and new models and collect data by running controlled experiments. We quickly reject ideas that fail and double down on those that show promise. Our most successful projects are born from the ground up and our scientists and engineers are encouraged to pitch ideas and lead them to completion.

About the role:

Our team works across the stack to come up with stable, responsive, secure, accessible & cross-platform customer experiences. Project opportunities as an applied scientist range from backend big data builds, LLMs, and developing other ML models, pipelines, and features. Successful candidates must also be innovative, flexible, self-directed, and able to design and write high-performance, reliable, maintainable code. This role requires the ability to creatively deal with ambiguity, be data-driven and juggle cross-organization complexity. If you enjoy working in a dynamic environment to deliver world class mission critical systems, this may be the career opportunity for you!

Basic Qualifications

• 3+ years of building models for business application experience

• 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 using Unix/Linux

• Experience in professional software development

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.