Applied scientist ii, last mile
Pubblicato il 02-10-2026 - Amazon in Italia
Amazon's Last Mile Team is looking for a passionate individual with strong machine learning and Gen AI engineering skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world. Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)'s success and the sustainable growth of Amazon.
Only through innovative and strategic thinking, we will make the right capital investments in technology, assets and infrastructures that allows for long-term success.
Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. The successful candidate should have solid research experience in one or more technical areas of Machine Learning, Computer Vision, or Gen AI. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies.
They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their p