Description

Does the idea of creating technology solutions for delivering 11 Billion+ packages across the globe excite you? If yes, come join a fun-loving, diverse, and creative team at Amazon Last Mile! The vision of the team is "To create Earth’s safest, most adaptive, and efficient plans for Last Mile logistics". The Last Mile Delivery Technology team is instrumental in impacting customer satisfaction directly, by devising innovative ways to deliver packages quickly and cost-effectively to the customers, and at scale using Artificial Intelligence (AI), Machine Learning and Operations Research solutions.

Last Mile Delivery Technology organization supports the design, planning and execution of last mile transportation for Amazon’s various parcel and grocery delivery programs. All these programs require a large number of decision support systems to operate at scale and serve our customers, spanning demand planning, jurisdiction planning, delivery channel and network design, capacity planning for on the road and under the roof at delivery stations, routing inputs and route optimization. While these decision support systems have thus far been approached through the lens of traditional optimization and machine learning, we are looking to re-envision this space and pursue Foundational AI research, to innovate and advance the state of these decision support systems. Specifically, we are looking to develop foundational models (including Large Language Models, Multimodal Language Models, Multimodal Models), and adaptations to serve last mile use cases. Beyond Amazon the work developed will spur new fundamental knowledge and innovation in the logistics space.

Job Location : Bellevue WA or Austin TX.

Key job responsibilities

You are a trusted scientific advisor and technical leader who sets the standard for scientific excellence, makes strategic decisions, tackles complex research problems, and invents scalable solutions that align with business objectives.

You deliver innovative solutions, lead your team in exploring new technologies, simplify designs, improve accuracy, and create scalable, cost-effective solutions that are used as references across the organization.

You are able to manage and influence complex projects, collaborate with diverse teams, stay up-to-date with the latest scientific advancements, and mentors junior scientists. You are a recognized authority in your field, actively participating in the scientific community and guiding your organization's technical decisions.

Basic Qualifications

• 10+ years of relevant, broad experience after a PhD degree building machine learning models and impacting business outcomes

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field

• Knowledge and experience developing and applying deep learning models

• Strong publication record in top-tier journals and conferences.

• Knowledge of programming languages such as C/C++, Python, Java or Perl

Preferred Qualifications

• Demonstrated experience developing large scale machine learning systems

• Knowledge and experience developing foundational models (including Large Language Models, Multimodal Language Models, Foundational Models in non-language domains)

• Experience developing novel algorithms, and solutions for training and inference

• Experience using managed ML/AI solutions

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.