Machine Learning Engineer
1 month ago
Come help build ML-based measurement at internet scale.
You will design, launch, own and evolve software that computes estimated impact of Amazon ads. 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 sr engineers, as well as help junior engineers grow.
About the RoleWe 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.
- Work with the data to understand advertiser needs and develop the most efficient ways of handling it.
- Closely partner with the science team on all aspects, from featurization to training to estimating to knowing we're right.
- Write code in languages like Scala, Java or Python.
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
- Experience programming with at least one software programming language.
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
- Bachelor's degree in computer science or equivalent.
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