המקום בו המומחים והחברות הטובות ביותר נפגשים
You'll be tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactual and predicting the success of advertising strategies for omni-channel campaign measurement. Working with a cross-functional team of product managers, business development managers, engineering, and science (ML scientists, research science, economists ), you will build automatic scale software solutions to enable state of the art causal learning, deep learning, and predictive techniques which empower marketers understand the performance of their omni-channel campaigns and optimize their spends.Key job responsibilities
- Experience with full life-cycle of software development / MLOps solutions from beginning to production launch.
- Deliver with independence on challenging large-scale problems with complexity and ambiguity.
- Independently own the tech solutions to ingest, standardize and scale marketing data from external and internal data sources that feed MLOps systems.
- Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.- Mentor and guide other engineers to develop the right systemA day in the life
Key job responsibilitiesSeattle, WA, USA
- 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
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- 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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