Software Development Manager -- Machine Learning, Worldwide Marketplace Science, Prime Video

Job summary
Amazon Prime Video is changing the way millions of customers enjoy digital content. Prime Video delivers premium content to customers through purchase and rental of movies and TV shows, unlimited on-demand streaming through Amazon Prime subscriptions, add-on channels like Showtime and HBO, and live concerts and sporting events like NFL Thursday Night Football. In total, Prime Video offers nearly 200,000 titles and is available across a wide variety of platforms and continues to invest in the future of video through Amazon Studios and produce original movies and TV shows, many of which have already earned critical acclaim and top awards, including Oscars, Emmys and Golden Globes.

The Worldwide Marketplace Science (WMS) team is the ML and analytics partner to global Marketplace businesses. We act as a force-multiplier for marketplace Prime Video content by leveraging ML models and software systems to supercharge acquisition, engagement, retention, and monetization.

As a Software Engineering Manager, you will work side-by-side with science and engineering teams to build and automate ML models and to build tooling to accelerate model development and monitoring. You will lead a team of engineers, and will take ownership over software design, documentation, development, and engineering. You will work closely with Product and other technical teams to drive the vision and execution for your team. You will need to be comfortable operating at a granular level of detail and with high level strategic thinking. You will have excellent written and verbal communication skills, and work effectively with many tech and non-technical stakeholders.

Key job responsibilities
Your responsibilities include all aspects of the software development management, product definition, people management and growth; full SDLC (initial requirements gathering, scoping, through implementation to launch); and operational excellence. You will have the freedom and encouragement to explore your own ideas and improvements.

• Design and build scalable ML infrastructure that enables training, evaluating and deploying machine learning models over billions of data points.
• Design and develop tools for monitoring the performance of machine learning models at scale.
• Design and develop lineage and artifact tracking infrastructure for training data, ML models and experiments.
• Build reproducible ML Pipelines orchestrating various components for ML models.
• Embrace and champion engineering best practices within your group and beyond.
• Explore and learn the latest AWS/other technologies to provide new capabilities and increase efficiency.

Basic Qualifications

• 7+ years of experience working directly within engineering teams
• Experience partnering with product OR program management teams
• 3+ years of people management experience, managing engineers
• 3+ years of experience architecting and designing (architecture, design patterns, reliability and scaling) of new and current systems

Preferred Qualifications

• Experience in building large-scale machine-learning infrastructure
• Advanced knowledge of performance, scalability, enterprise system architecture, and engineering best practices
• Ability to deal well with ambiguous and undefined problems.
• Experience with web-scale data processing using Spark or similar technologies.

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.