Applied Scientist II, Last Mile

Amazon Inc.

Asti

Ibrido

EUR 110.000 - 170.000

Tempo pieno

23 ore fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

Amazon is seeking a passionate ML/GenAI engineer to join the Last Mile Science team in designing and improving delivery network planning. You will work on models for capacity planning, routing, and DSP coordination, influencing cost and customer experience.

We value deep ML/GenAI expertise, strong programming skills (Java/C++/Python), and the ability to turn complex requirements into production-grade systems in a fast-paced environment.

Competenze

  • PhD or Master’s with 4+ years in CS/CE/ML and research publications.
  • 3+ years building models for business applications.
  • Experience programming in Java, C++, Python.
  • Experience in algorithms, data structures, numerical optimization, data mining.

Mansioni

  • Develop ML/GenAI solutions to optimize last-mile delivery capacity.
  • Translate business requirements into mathematical models and production-ready code.
  • Collaborate with product managers, researchers, and engineers to scale models.

Conoscenze

Java
C++
Python
Algorithms
Data mining
High-performance computing
GenAI

Formazione

PhD in CS/CE/ML
Master's in CS/CE/ML with 4+ years

Descrizione del lavoro

Amazon’s Last Mile Team is looking for a passionate individual with strong machine learning and GenAI 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.
Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. 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.

Key job responsibilities

Candidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Machine Learning, Computer Vision, or GenAI. 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 proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs.

Basic Qualifications
  • 3+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
  • Experience using Unix/Linux
  • Experience in professional software development

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.

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Health insurance
401(k) matching
Paid time off
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