DESCRIPTION
Our AI Center of Excellence builds data-driven automation capabilities to support core operations at global scale. We leverage off the sciences of data, information processing, machine learning, and generative AI to improve user experience, automation, service resilience, and operational efficiency.
Our work expands AI-driven capabilities of our businesses in primarily Retail and IT with global impact.
Key job responsibilities
As an Applied Scientist, you will be mapping business problems to high-impact solutions. You will turn theoretically sound ML / AI methods into practically applicable models designed for processing massive volumes of data in large-scale environments.
You will define business relevant solutions implemented as end-to-end ML / AI functions and data processing pipelines that integrate with our partners production systems.
You dive deep into all aspects of the practical machine learning development cycle, encompassing sound use of data pre-processing techniques, analysis, modelling, and validation methods.
You master the complex theory under the hood of machine learning and you keep up to date with the latest scientific development in information processing, modelling, and learning methods.
You take lead of the scientific and technical work in cross-team collaborations with the ultimate objective of creating a delightful experience for our customers using our solutions.
A day in the life
In a fast-paced innovation environment, you work together with our scientists and ML-engineers. You develop and deploy experiments and models at scale.
Sometimes you help developing science initiatives with long-term impact on the business. You dive deep into practically challenging science problems, enabling ML / AI-driven automation, insights, and user experiences together with our internal partners.
You work close to production to understand our customers and help out with operational excellence. You may also mentor science peers and interns.
You may take part in educating our org in scientific best practices.
About the team
We work back to back to address the technical challenges of automation, service resilience, and operational efficiency across a variety of products, softwares, and systems.
Our scientists and machine learning engineers work in synergy to solve hard problems, enriching each other's skills. Together, we are a powerful team of specialists in EU and NA bringing the potential of practical ML and AI to the max with impact on millions of Amazon customers.
We are open to hiring candidates to work out of one of the following locations :
Vancouver, BC, CAN
BASIC QUALIFICATIONS
- Experience programming in Java, C++, Python or related language
- Experience implementing algorithms using both toolkits and self-developed code
- PhD in computer science, operations research, statistics, mathematics (or equivalent field) with specialist competence in machine learning
PREFERRED QUALIFICATIONS
- Experience in any of the following areas : algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience in building machine learning models or developing algorithms for business applications in production
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, disability, age, or other legally protected status.
If you would like to request an accommodation, please notify your Recruiter.
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