Machine Learning Engineer | Creative Ads Optimization
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The role
As a founding Machine Learning Engineer, you will define the technical architecture for a new generative product focused on ad creation.
You will architect the Optimization Engine by translating ad effectiveness into quantitative signals that guide AI models to generate high-performance content.
Collaborate with researchers to apply state-of-the-art techniques, including efficient fine-tuning of vision-language models to tackle creative challenges.
Design and build the initial backend infrastructure that powers the platform, ensuring it scales from prototype to global product.
This role requires a founding mindset, deep understanding of the ads ecosystem, and hands-on mastery of Python and generative models.
You thrive in ambiguity, own the specifications as you build, and bridge research and product to deliver impactful creative tools.
You will architect the Optimization Engine by translating ad effectiveness into quantitative signals that guide AI models to generate high-performance content.
Collaborate with researchers to apply state-of-the-art techniques, including efficient fine-tuning of vision-language models to tackle creative challenges.
Design and build the initial backend infrastructure that powers the platform, ensuring it scales from prototype to global product.
This role requires a founding mindset, deep understanding of the ads ecosystem, and hands-on mastery of Python and generative models.
You thrive in ambiguity, own the specifications as you build, and bridge research and product to deliver impactful creative tools.
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