Software Development Engineer

SageMaker Training Jobs is looking for a Software Development Engineer to join their core team. This role focuses on building and maintaining mission-critical systems in Amazon's best-in-class machine learning platform. You'll be working on SageMaker Training, a set of managed services that enable customers to train machine learning models using large datasets on managed infrastructure.

Key Responsibilities:

• Build and maintain systems that support training jobs running on hundreds of thousands of machines
• Maintain system reliability with less than 0.1% failure rate
• Experiment with new technologies to innovate the platform
• Write clear technical documentation and contribute to technical discussions
• Work with highly talented engineers in a collaborative environment

About SageMaker: Amazon SageMaker is a fully managed Machine Learning platform that simplifies the process of building, managing, and deploying ML models. The platform removes the complexity typically associated with large-scale Machine Learning implementations, allowing developers and scientists to focus on creative modeling work.

Team Culture:

• Strong emphasis on work-life balance with flexible working hours
• Inclusive environment with ten employee-led affinity groups across 190 global chapters
• Dedicated mentorship program for career growth
• Knowledge sharing and thorough code review culture
• Commitment to diversity and inclusion aligned with Amazon's Leadership Principles

Benefits:

• Competitive base salary range ($129,300 - $223,600 based on location)
• Comprehensive medical, financial, and other benefits
• Equity compensation
• Sign-on payments available
• Professional development opportunities

The role offers an exciting opportunity to work with cutting-edge machine learning infrastructure while contributing to a product that serves businesses worldwide. You'll be part of a team that values innovation, operational excellence, and continuous learning.