Software Development Engineer, Retailer Ad Service
Amazon
Description
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
We are looking for engineers for a confidential new advertising program that will have significant strategic impact to the Amazon Ads business. You will work backwards from customers, collaborate with technical teams across Amazon Ads to design and implement solutions, and deeply analyze the results. You will also evangelize new features and communicate technical priorities to senior leadership. You will deal with some of the toughest and most inspiring challenges of your career as you invent a new value proposition, real time systems and big data paradigms, and scale for growth.
We are looking to hire for this role in Toronto.
Key job responsibilities
Together with your scrum, you will prototype and develop new components using the latest event-driven and server-less technologies. You will develop both real time and petabyte scale big data systems working directly with different types of technology. You will design, launch, own and evolve software that serves both the interests of customers and advertisers. You'll work closely with our top notch team of scientists and economists to invent, build and try ML-based approaches to iterate on what works best.
A day in the life
You will have a mix of designing and setting up new services, integrating with partner teams, and running spike efforts to plan future initiatives. There is lots to build and learn, so expect to drive multiple initiatives as you gain experience in the space.