Come help build ML-based measurement at internet scale. This is a green grass problem without a known answer or a pattern to follow.
You will design, launch, own and evolve software that computes estimated impact of Amazon ads. Hundreds of thousands of advertisers will use your work every day to decide where to invest next. You'll work closely with our top-notch team of scientists and economists to invent, build and try ML-based approaches, and iterate on what works best. You'll help define not only how we compute the estimates, but how do we know we're right. These are really hard questions that are unique to Amazon, so there isn't a footprint you can copy. You'll build petabyte-scale measurement pipelines, as well as advance supporting services and frameworks. You'll get feedback from principal and senior engineers, as well as help junior engineers grow.
We enable advertisers to optimize ad spend and allocate budgets effectively by providing accurate, actionable and timely conversion measurement for all Amazon ad products. We're in the early stages of work, where we invent and try a lot of new approaches. We use a combination of machine learning (ML)-based and deterministic techniques to produce the estimates that are fastest in the industry without compromising quality. We constantly invent on our cutting-edge event-driven architectures to stay ahead of growing scale.
The charter of this team is focused on computing estimated conversions. We own the math, the algorithms, and the design. We work with a variety of technologies, such as AWS EMR, Batch, Scala, Spark, and PyTorch. Science is invented in the same team.
We are a company of builders who bring varying backgrounds, ideas, and points of view to inventing on behalf of our customers. Our diverse perspectives come from many sources including gender, race, age, national origin, sexual orientation, culture, education, and professional and life experience. We are committed to diversity and inclusion and always look for ways to scale our impact as we grow.
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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.