As a Sr. Applied Scientist you apply state-of-the-art research to business problems, invent novel solutions and prototypes, and directly contribute to bringing your ideas to life through production implementation. Current research areas include named entity recognition, product substitutes, pricing optimization, agentic AI, and large language models. You will review and guide scientists across the team on their designs and implementations, and raise the team bar for science research and development.
This is a unique, high visibility opportunity for someone who wants to develop ambitious science solutions and have direct business and customer impact.
Key job responsibilities
- Partner with business stakeholders to deeply understand APB business problems and frame ambiguous business problems as science problems and solutions.
- Adapt and apply state-of-the-art machine learning solutions to business problems.
Invent novel science solutions, develop prototypes, and deploy production software to solve business problems.
- Review and guide science solutions across the team.
- Publish and socialize your and the team's research across Amazon and external avenues as appropriate
- Leverage industry best practices to establish repeatable applied science practices, principles & processes.
A day in the life
You might start your morning reviewing experiment results from a new model architecture you proposed, then meet with engineering partners to discuss how to integrate your latest prototype into a production pipeline. After lunch, you lead a design review for a colleague's approach to a retrieval problem, offering alternative scientific directions grounded in your deep domain expertise. Later, you spend focused time writing code for a novel training methodology, and close the day drafting a research proposal that could open an entirely new capability for your team.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, BC, Vancouver - 195,900.00 - 327,200.00 CAD annually
