Applied Scientist, Amazon Redshift

About the role

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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Responsibilities

• Research and develop deep learning models that power query resource prediction for one of the world's largest cloud data warehouses.
• Take ownership of 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 and evolving workloads.
• Run experiments at scale on real production data, and collaborate closely with systems engineers to deliver low-latency inference in a highly available environment.
• Publish your research at top-tier academic venues and contribute to the broader ML-for-systems community.
• Help shape the science roadmap for autonomous database operations while mentoring fellow scientists and engineers.

Qualifications

• 3+ years of building models for business applications 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
• 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