Description

Are you a scientist interested in pushing the state of the art in recommendations and ranking? Are you interested in working on novel ideas that can positively impact millions of Amazon customers? Do you wish you had access to large datasets? Are you passionate about publishing your work at conferences? Answer yes to any of these questions and you will be a great fit for our team at Amazon.

Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. We are building ML solutions to rank content on new shopping experiences on Amazon that inspire customers to find engaging multi-modal content (videos, images, reviews) related to their interests. Amazon’s internal surveys regularly recognize us as one of the best organizations to work for in the company, with visible high-impact work, respectful work-life balance, and continual opportunity to learn and grow.

As a Senior Applied Scientist in our team, you will be working on cutting edge ways to help customers find the right products and content on their shopping journey. You will lead the development of novel algorithms in areas such as deep learning and reinforcement learning while building scalable industrial systems. As a member of a team of talented engineers and ML scientists, you will have a unique opportunity to help design and build infrastructure that accesses terabytes of data to produce and deliver models with low latency and high reliability. We are building the next generation ML system that powers the biggest internet retailer on earth, and we hope you will join us!

Key job responsibilities

• Adopt or invent new machine learning techniques in the realm of real-world ranking, recommendation and large language models.

• Define and drive the team's science vision to provide step-change improvements to customer & business problems.

• Be technically fearless and with a passion for building scalable science and engineering solutions.

• Serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).

• Participate in organizational planning, hiring, mentorship and leadership development.

• Publish results at peer-reviewed conferences/journals.

Please visit https://www.amazon.science for more information.

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

Irvine, CA, USA

Basic Qualifications

• PhD, or Master's degree and 6+ years of applied research experience

• 3+ years of building machine learning models for business application experience

• Experience with neural deep learning methods and machine learning

• Experience programming in Java, C++, Python or related language

Preferred Qualifications

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field

• 5+ years of building machine learning models or developing algorithms for business application experience

• Ability to take a project from scoping requirements through actual launch of the project.

• Handle multiple competing priorities in a fast-paced environment.

• Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences.

• A strong sense of curiosity and willingness to learn quickly, building knowledge and skills that this role requires.

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 $260,000/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.