Applied Scientist, Amazon Redshift

Amazon Redshift is the worlds most popular fully managed cloud data warehouse. Tens of thousands of enterprise customers use Redshift to crunch through exabytes of data in the cloud to make business critical decisions every day. To stay ahead in such a mission critical setting at Redshift we must always re-invent ourselves for customers. We are always looking for the innovative engineers to help shape the future of Redshift.

We are looking for an Applied Scientist to build deep learning models that predict query resource consumption enabling intelligent workload management at massive scale. Query resource prediction is at the heart of Redshifts workload management determining how queries are scheduled scaled and executed across the system.

This is a unique opportunity to shape the future of intelligent query management for the worlds most popular cloud data warehouse powering analytical workloads for Fortune 500 companies startups and everything in between. You will bring deep expertise in one or more areas such as deep learning graph neural networks or reinforcement learning with the ability to work in a fast-moving and collaborative environment to deliver broad business impact at scale.

Key job responsibilities
As an Applied Scientist on the Redshift Query Optimizer team you will research and develop deep learning models that power resource prediction for one of the worlds largest cloud data warehouses. You will take ownership of the end-to-end ML lifecycle from problem formulation and data analysis to model training evaluation and production deployment. You will design novel approaches to understand queries and predict resource needs across diverse and evolving workloads. You will run experiments at scale on real production data and collaborate closely with systems engineers to deliver low-latency inference in a highly available environment. You will publish your research at top-tier academic venues and contribute to the broader ML-for-systems community. And you will help shape the science roadmap for autonomous database operations while mentoring fellow scientists and engineers.

About the team
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

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- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience programming with at least one modern language such as Java C or C# including object-oriented design

- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience in solving business problems through machine learning data mining and statistical algorithms
- Experience in patents or publications at top-tier peer-reviewed conferences or journals

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA East Palo Alto - 171600.00 - 222200.00 USD annually
USA WA Redmond - 142800.00 - 193200.00 USD annually