Usamos cookies técnicos e estatísticas de visitas: Yandex Metrica e o registro de visitas desidentificado do Zorky. Nunca vendemos dados. Mais sobre cookies e estatísticas.
O Zorky está em modo de teste: tudo é grátis. Este site é só uma demo: nomes de empresas, links e seu feed pessoal ficam disponíveis depois do cadastro. Cadastre-se →
ZorkyZorky
Português
@termdocs
← Todas as vagas

Senior Engineer, Data and ML Platform

Seniorhá 2 d
Análises de mercado
📊 Backend: salários e demanda no mercado
Stack
snowflake
Detalhes
Regime
Tempo integral
Mostrar empresa e link
Grátis, depois de entrar.
Candidatar-se
Envie seu currículo: empregadores e recrutadores de vários países que procuram o seu perfil poderão falar com você diretamente.
Enviar seu currículo →
Descrição
About Falcon Falcon Labs turns the post-transaction experience into an incremental revenue stream for online services and a rewarding moment for their customers. Our solution uses advanced technology and AI to deliver personalized, contextually relevant offers to consumers at their peak engagement moment, right after they complete a transaction. The moment after a transaction is one of the most underutilized surfaces in commerce: intent is high, trust is established, and attention is real, yet for most brands it still ends with a static confirmation screen. We operate across major e-commerce ecosystems (Shopify, Wix, and a growing set of technology partnerships), earn a take rate on advertiser conversions, and run on real-time decisioning, Snowflake analytics, and an expanding push into agentic automation across the network. We are a team of ad-tech veterans from the mobile advertising world (ironSource/Unity). The position Full time. Senior individual contributor, reporting to the VP R&D and working day to day with our ML lead. About the role Our ranking model is only as good as the data under it. You own what it learns from: the raw sources, the pipelines, the tables it trains on and the monitoring around them. This is a senior engineering role first. Data and ML are where you spend your first months. After that you work wherever the platform needs a strong engineer, including backend services and infrastructure. What you’ll do Build and run batch pipelines on Spark and Dat
Descrição completa, empresa e link para se candidatar: depois de entrar. Entrar
Os contatos do empregador (e-mail/telefone/telegram) ficam ocultos na prévia pública. Envie seu currículo para que os empregadores possam falar com você diretamente.
Pergunta urgente? Escreva para @termdocs