Applied Scientist, Amazon Redshift

Amazon • East Palo Alto, CA

1d • $142,800 - $222,200 • Onsite

About The Position

Amazon Redshift is seeking an Applied Scientist to develop deep learning models for predicting query resource consumption, crucial for intelligent workload management at scale. This role offers a unique opportunity to influence the future of intelligent query management in a leading cloud data warehouse, impacting analytical workloads for diverse companies. The ideal candidate will possess deep expertise in areas like deep learning, graph neural networks, or reinforcement learning, and thrive in a fast-paced, collaborative environment to drive significant business impact.

Requirements

• 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 programming with at least one modern language such as Java, C++, or C# including object-oriented design

Nice To Haves

• 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

Responsibilities

• Research and develop deep learning models for resource prediction in a large-scale cloud data warehouse.
• Own the end-to-end ML lifecycle, from problem formulation and data analysis to model training, evaluation, and production deployment.
• Design novel approaches to understand queries and predict resource needs across diverse workloads.
• Run experiments at scale using real production data.
• Collaborate with systems engineers to deliver low-latency inference in a highly available environment.
• Publish research at top-tier academic venues and contribute to the ML-for-systems community.
• Shape the science roadmap for autonomous database operations.
• Mentor fellow scientists and engineers.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior