Sr. Machine Learning Engineer, Amazon Traffic Engineering

Amazon • Vancouver, BC

1d • Onsite

About The Position

Our team builds and operates critical infrastructure services that power Amazon's retail platform, ensuring optimal performance and reliability for millions of customer interactions every day. We are looking for individuals interested in working at the largest possible scale, making an impact across all of Amazon's retail traffic, and contributing to how the company delivers exceptional customer experiences. On our team, you will have the opportunity to work on advanced machine learning systems and distributed infrastructure that operates at unprecedented scale. Our services are core to Amazon's retail architecture, processing and analyzing massive volumes of traffic in real-time to maintain service quality and protect the customer experience. You will use your technical prowess to deliver on challenging problems with simple, maintainable and extensible solutions. You will take risks and experiment, define and deliver solutions, build on success from the past and learn from failures. You will work alongside a team that collaborates and takes on shared goals to deliver solutions that are larger than each individual. You will learn from others, and in turn make others around you better. You will have the opportunity to impact the technical choices we make at Amazon and how Amazon developers develop. This is a place where you can apply and further your strong technical skills while delivering impactful business results. Amazon is a place where builders build, and we enable Amazon builders. It’s still Day One. Help us build the future.

Requirements

• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution

Nice To Haves

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Knowledge of machine learning model architecture and inference
• Bachelor's degree in computer science or equivalent

Responsibilities

• Collaborate within a team and across other teams to launch best in class solutions.
• Improve operational excellence by driving performance and monitoring features.
• Troubleshoot problems, and in turn recommend and implement industry-leading solutions.
• Learn and be curious, and in turn teach, mentor and grow other engineers.

Benefits

• health insurance (medical, dental, vision, prescription, basic life & AD&D insurance)
• Registered Retirement Savings Plan (RRSP)
• Deferred Profit Sharing Plan (DPSP)
• paid time off
• other resources to improve health and well-being

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree