Applied Scientist

World's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.
$136,000 - $222,200
Machine Learning
Senior Software Engineer
Hybrid
5,000+ Employees
4+ years of experience
AI · Enterprise SaaS · Cloud

Description For Applied Scientist

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.

Last updated 11 minutes ago

Responsibilities For Applied Scientist

  • Lead development and implementation of state-of-the-art automated ML systems
  • Create objective functions for automation of machine learning and data science
  • Innovate new methods for evaluation, simplification, and creation of models
  • Research in advanced customer understanding and behavior modeling techniques
  • Collaborate with cross-functional teams
  • Design and execute experiments to evaluate algorithm performance
  • Mentor and guide junior scientists and engineers

Requirements For Applied Scientist

Python
Java
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in professional software development
  • 3+ years of building machine learning models or developing algorithms

Benefits For Applied Scientist

Medical Insurance
401k
  • Mentorship Programs
  • Career Development
  • Work-Life Balance
  • Medical Benefits

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