Machine Learning Engineer

Sourced from talentify.io

Build the machine learning pipelines and online serving systems that match shoppers with sponsored ad products across Amazon's massive catalog, with strict relevance and latency requirements. Partner with ML and NLP research scientists to optimize model performance and infrastructure, taking models from experimentation to production. Own ML features end to end and operate always-on services used by hundreds of millions of customers.

• Design, develop and support scalable ML pipelines and online serving systems under strict latency limits
• Partner with applied and research scientists to optimize ML model performance and infrastructure
• Deliver ML features end to end: system design, implementation, testing, deployment and operations
• Identify problems, propose solutions and track system health and model quality with performance metrics
• Run production services to a high operational bar (24x7x365)
• Collaborate with Product, UX, QA and other engineers
• Mentor peers through design and code reviews

• 3+ years of non-internship professional software development experience
• 2+ years of design or architecture experience for new and existing systems
• 1+ years of experience designing and developing large-scale, multi-tiered, multi-threaded, or distributed software using C#, C++, Java, or Perl
• 1+ years of Object Oriented Design experience
• Experience programming with at least one software programming language
• 3+ years of full software development life cycle experience
• Bachelor's degree in computer science or equivalent

• Experience with ML infrastructure and real-time serving systems
• NLP or generative AI experience
• Experience operating large-scale production services