Research Scientist II, Brand Registry

Amazon

Not Interested
Bookmark
Report This Job

profile Job Location:

Vancouver - Canada

profile Monthly Salary: Not Disclosed
Posted on: 18 hours ago
Vacancies: 1 Vacancy

Job Summary

The Brand Registry Science team is looking for a talented scientist to help solve complex problems faced by brands using the latest science this role you will work closely will product team and engineering partners to launch the solution into production and owning the end-to-end solution.

We are looking for a highly talented scientist to help build our vision for agent-based intelligent automation. As an applied scientist on the team you will use large language models techniques to build automated AI solutions that thinks like human to assist decision making and eventually make autonomous decisions that impacts millions of brands selling partners and customers. You will work backwards from data insights and customer feedback to build the right machine learning solutions collaborate with other domain experts in finding innovative solutions to unsolved problems.

An ideal candidate should have extensive experience driving large-scale Machine Learning initiatives specially in GenAI and LLM applications from conception to launch in a rapidly evolving environment. Amazons growth requires leaders who move fast have an entrepreneurial spirit to create new solutions have an unrelenting tenacity to get things done and are capable of breaking down and solving complex problems.

Key job responsibilities
- Understand business challenges by analyzing data and customer feedback
- Collaborate with tech and product teams on building ML strategies experimentation implementation and continuous improvement
- Analyze and extract relevant information from large amounts of both structured and unstructured data to design strategies to solve business problems.
- Use large language models and machine learning techniques to create scalable solutions for business problems
- Create business and analytics reports and present to the senior management teams
- Research and implement novel AI solutions and publish research papers

About the team


- PhD or Masters degree and 4 years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets

- Knowledge of R MATLAB Python or similar scripting language
- Experience with agile development
- Experience building web based dashboards using common frameworks
- Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
- Experience identifying opportunities to integrate AI solutions into products and services to drive business value

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company Amazons 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 - 126300.00 - 210900.00 CAD annually
CAN ON Toronto - 126300.00 - 210900.00 CAD annually


Required Experience:

IC

The Brand Registry Science team is looking for a talented scientist to help solve complex problems faced by brands using the latest science this role you will work closely will product team and engineering partners to launch the solution into production and owning the end-to-end solution. We are lo...
View more view more

Key Skills

  • Laboratory Experience
  • Machine Learning
  • Python
  • AI
  • Bioinformatics
  • C/C++
  • R
  • Biochemistry
  • Research Experience
  • Natural Language Processing
  • Deep Learning
  • Molecular Biology

About Company

Company Logo

Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more

View Profile View Profile