São Paulo

A Loggi, serviço online de entrega expressa que conecta o cliente diretamente com o mensageiro através do computador ou do celular. Visamos revolucionar o mercado de logística através da nossa tecnologia proprietária. Acreditamos que um bom ambiente de trabalho - importamos as melhores práticas do Vale do Silício - junto com funcionários contextualizados e proativos podem gerar resultados incríveis e oferecer grandes perspectivas de crescimento.

Loggi, a well-funded Brazilian startup, is looking for a developer with Machine Learning experience. Loggi is an urban logistics company bringing instant delivery within anyone's reach, offering state-of-the-art dispatching, routing, pricing, real-time tracking and billing. Founded in São Paulo, Brazil, Loggi uses the massive network of motor couriers to form a logistics network that is fast and reliable. Our web/mobile platform and API offer unmatched convenience, reliability, reach and timely delivery through a user friendly interface, real customer support, and fully legalized couriers - at a better price vs alternatives.

Doing real time logistics isn't easy. We need to balance supply vs demand regionally, reducing allocation and pickup time. You will help us improve our fleet efficiency by digging through a huge mountain of historical and real-time generated data, and help our motor couriers better positioning. Each improvement on those results play a significant role in our success, and make same day delivery more accessible to a broader audience. At Loggi you will be working with our engineers to architect, deploy, develop and tune our ML stack. We provide
* Fun, laid-back environment in a fast paced startup
* Feedback and brainstorming directly with the founders
* No bureaucracy, no bull
* Competitive compensation based on your experience
* If from abroad: full assistance in the immigration/moving process
* Choice of tools

Our Current Stack
* Mixed fleet of AWS and other dedicated server hosting providers
* Docker for distributing services
* PostgreSQL for relational storage
* Citus for logging and OLAP loads
* InfluxDB and Redshift for metrics
* And a bunch of other stuff, let's not spoil the surprise