DESCRIPTION

Are you excited about developing generative AI, reinforcement learning and foundation models? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics, we are on a mission to build high-performance autonomous decision systems that perceive and act to further improve our world-class customer experience – at Amazon scale.

We are looking for an Applied Scientist who will help us build next level simulation and optimization systems with the help of generative AI and LLMs. Together, we will be pushing beyond the state of the art in simulation and optimization of one of the most complex systems in the world: Amazon’s Fulfillment Network.

Key job responsibilities
In this role, you will dive deep into our fulfillment network, understand complex processes and channel your insights to build large scale machine learning models (LLMs, graph neural nets and reinforcement learning) that will be able to understand and optimize the state and future of our buildings, network and orders.

You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. You will work with and in a team of applied scientists to solve cutting edge problems going beyond the published state of the art that will drive transformative change on a truly global scale.

A day in the life
In this role, you will dive deep into our fulfillment network, understand complex processes and channel your insights to build large scale machine learning models (LLMs, graph neural nets and reinforcement learning) that will be able to understand and optimize the state and future of our buildings, network and orders.

You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. You will work with and in a team of applied scientists to solve cutting edge problems going beyond the published state of the art that will drive transformative change on a truly global scale.

A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we’d still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team
Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.

The AFT AI team has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch.

BASIC QUALIFICATIONS

– PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience
– Experience programming in Java, C++, Python or related language
– 1+ years of building models for business application experience

PREFERRED QUALIFICATIONS

– Experience using Unix/Linux
– Experience in professional software development

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 $136,000/year in our lowest geographic market up to $222,200/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.

USA, WA, Bellevue