Senior SDE - Machine Learning, Machine Learning Optimization (MLO)

Job summary
This role is for an engineer in the Machine Learning Optimization (MLO) team for the Amazon Demand-Side-Platform (DSP). Amazon DSP is an online advertising system that matches supply (advertising slots) with demand (advertising campaigns) for our advertisers. This is accomplished via real-time auctions for each advertising slot, where the winner shows their advertising campaign to the user. Amazon DSP operates at very large scale, handling billions of auctions and bids every day under tight latency constraints, analogous to high-frequency trading.

The MLO team is responsible for optimizing the performance of Amazon DSP, which means selecting the most relevant advert for each user to maximize the returns for our advertisers. This is done using Machine Learning (ML) to determine the best campaign and the optimal bid for every auction. The MLO team owns both offline and online aspects of DSP performance optimization, combining cutting-edge ML technologies (e.g. AWS SageMaker) with state-of-the-art ML techniques (e.g. Deep Learning).

As an engineer on the MLO team, you will be responsible for designing and improving ML systems for DSP performance optimization. You will have end-to-end responsibility to help capture requirements, create software designs, implement and launch your designs in production, define continuous integration testing, and supporting the resulting systems. You will have full ownership of technology choices, architecture, A/B testing for your features, code deployments into production, and operational excellence. Your team will include ML scientists, data analysts, and other high performing engineers.

We’re looking for SDEs interested in AWS SageMaker, AWS Lambda, AWS EMR, Spark, PyTorch, and other AWS, Big-data, and ML/Deep-Learning technologies.

Basic Qualifications

• 4+ years of professional software development experience
• 3+ years of programming experience with at least one software programming language
• 2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems
• Experience as a mentor, tech lead OR leading an engineering team

• Bachelor’s Degree in Computer Science or related field
• Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis

Preferred Qualifications

• 5+ years of software development professional experience
• Masters degree in Computer Science, Math or Physics or a related field
• Experience building software systems that have been successfully delivered to customers
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience in databases, analytics, big data systems or business intelligence products
• Experience with building high-performance, highly-available and scalable distributed systems.
• Experience in the advertising or search industries
• Deep hands-on technical expertise, excellent verbal and written communication skills
• Experience with Agile software development techniques.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.