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 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.
Requirements
Basic Qualifications:
- 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
- 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
Qualifications
- Experience in building models for business applications
- PhD or Master's degree in Computer Science, Electrical Engineering, Machine Learning, or related field
- Experience programming in Java, C++, Python, or related languages
- Experience with modern languages 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
Skills
- Deep learning models architecture design
- Deep learning training and optimization
- Model pruning
- Solving business problems through machine learning, data mining, and statistical algorithms
Benefits
Amazon 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 https://amazon.jobs/en/benefits.
Pay
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs).
- USA, CA, East Palo Alto - 171,600.00 - 222,200.00 USD annually
- USA, WA, Redmond - 142,800.00 - 193,200.00 USD annually
Schedule
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.