Amazon SageMaker's Low-Code/No-Code team is seeking a Senior Applied Scientist to spearhead the development of cutting-edge automated ML systems. This role combines innovative research with practical implementation, focusing on making data science and machine learning more accessible through automation.
The position offers a unique opportunity to work with Amazon-scale use cases, directly impacting customer experiences. You'll be part of AWS Utility Computing, working on foundational services like Amazon S3 and EC2, while developing automation techniques for machine learning and data science workflows.
The role demands both technical expertise and leadership skills. You'll be responsible for creating new methodologies for model evaluation and development, conducting research in customer behavior modeling, and collaborating across teams to solve complex problems in knowledge processing and verification.
Working in a hybrid model, you'll enjoy the flexibility to balance focused development time with collaborative in-person sessions. The team culture emphasizes continuous learning, diversity, and inclusion, with access to employee-led affinity groups and ongoing professional development opportunities.
The compensation package is comprehensive, ranging from $136,000 to $222,200 annually, depending on location, plus additional benefits including equity opportunities and full medical coverage. This position offers a chance to shape the future of machine learning automation while working with industry-leading cloud technologies.
Join a team that values innovation, work-life harmony, and professional growth, while contributing to products that are transforming how businesses leverage machine learning and cloud computing.