Are you excited about developing large language models and computer vision
models that revolutionize Amazons Fulfillment network? Are you looking for
opportunities to apply state-of-the-art AI on real-world problems at truly
vast scale? At Amazon Fulfillment Technologies and Robotics, we are on a
mission to build high-performance autonomous systems that perceive and act to
further improve our world-class customer experience — at Amazon scale. To this
end, we are looking for an Applied Scientist who will build and deploy models
that make smarter decisions on a wide array of multi-modal signals. Together,
we will be pushing beyond the state of the art in optimizing one of the most
complex systems in the world: Amazons Fulfillment Network.
Key job responsibilities
In this role, you will build computer vision and multi-modal deep learning
models that understand the state of products and packages flowing through
Amazon’s fulfillment network. You will build models that solve challenging
problems like product identification and damage detection on Amazons entire
retail catalog (billions of different items, thousands of new items every
day). You will primarily work with very large real-world vision datasets, as
well as a diverse set of multi-modal datasets, including natural language and
structured data. You will face a high level of research ambiguity and problems
that require creative, ambitious, and inventive solutions.
A day in the life
AFT AI delivers the AI solutions that empower Amazon’s fulfillment network to
make smarter decisions. You will work on an interdisciplinary team of
scientists and engineers with deep expertise in developing cutting-edge AI
solutions at scale. You will work with images, videos, natural language, and
sequences of events from existing or new hardware. You will adapt state-of-
the-art machine learning and computer vision techniques to develop solutions
for business problems in the Amazon Fulfillment Network.
About the team
Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment
network. We invent and deliver software, hardware, and 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.
AFT AI is spread across multiple locations in NA (Bellevue WA and Nashville,
TN) and Europe (Berlin, Germany). We are hiring candidates to work out of the
Berlin location.
Publicly available articles showcasing some of our work:
- Damage Detection:
- Product ID:
### BASIC QUALIFICATIONS
- PhD, or a Masters degree and experience in CS, CE, ML or related field
- Experience in building models for business application
- Experience in patents or publications at top-tier peer-reviewed conferences
or journals
- Experience programming in Java, C++, Python or related language
- Experience working with deep learning models for classification tasks
- Experience working with vision-language models and large language models
- Experience with state-of-the-art deep learning and data science frameworks
like PyTorch, TensorFlow, Pandas
### PREFERRED QUALIFICATIONS
- Experience in professional software development
- Experience in deploying deep learning models in production
- Experience developing deep learning models with multi-modal input (vision-
language models)
- Experience in self-supervised learning
Amazon is an equal opportunities employer. We believe passionately that
employing a diverse workforce is central to our success. We make recruiting
decisions based on your experience and skills. We value your passion to
discover, invent, simplify and build. Protecting your privacy and the security
of your data is a longstanding top priority for Amazon. Please consult our
Privacy Notice ( to know more about
how we collect, use and transfer the personal data of our candidates.
mwd