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Description

Amazon is looking for world class Principal Applied Scientist to join its AWS AI Labs with expertise in recommender systems/personalization and differential privacy. You will be leading a team of applied scientists developing robust and scalable machine learning solutions for recommendation and personalization services. You will interact in a cross-functional capacity with product and engineering leaders, as well as with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with acclaimed engineers and world-class scientists.

Key job responsibilities

• As a Principal Applied Scientist, you will lead a team of junior and mid-level applied scientists. You have the scientific depth to set strategic directions, and define successful execution plans.

• Develop science and engineering craftmanship and drive continued scientific innovation as a thought leader and practitioner.

• You will keep your technical skills current to be able to lead architecture and design discussions, take part in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify the root cause of complex issues.

• Set a vision for your team and create product roadmaps. Use project management skills to deliver product roadmap items and other cross-team projects.

• Hire and develop top talents, provide technical and career development guidance to both scientists and engineers in the organization.

• Leverage industry best practices to establish repeatable applied science practices, principles & processes.

About the team

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

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

Seattle, WA, USA

Basic Qualifications

1. PhD degree in computer science, statistics, engineering, mathematics or another relevant discipline

2. 10+ years of experience using AI/ML solutions to address large scale recommendation systems / differential privacy/ personalization

3. Mentors and trains the research scientist community on complex technical issues.

4. Experience in applying machine learning to real-world problems, with demonstrated impact on product or service outcomes

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

6. Skilled in C++ (or other high-level programming language) as well as Python

Preferred Qualifications

1. 5+ years of experience building machine learning and analytic applications.

2. Experience in reinforcement learning and natural language processing

3. PhD and 7+ years of relevant industry or academic research experience

4. Hands-on experience with at least two of the following: reinforcement learning, causal inference, differential privacy

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 $159,100/year in our lowest geographic market up to $309,400/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.