Applied Scientist, Alexa Daily Essentials - Vancouver, Canada - Amazon Development Centre Canada ULC

Amazon Development Centre Canada ULC
Amazon Development Centre Canada ULC
Verified Company
Vancouver, Canada

1 month ago

Sophia Lee

Posted by:

Sophia Lee

beBee Recruiter
Description
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

  • Experience implementing algorithms using both toolkits and selfdeveloped code
  • Experience in patents or publications at toptier peerreviewed conferences or journals
  • Experience programming in Java, C++, Python or related language


Alexa Daily Essentials is hiring an Applied Scientist to research and implement large language model innovations to enhance Alexa's language understanding, knowledge representation, reasoning and generation capabilities.


As an applied scientist, you will advance state of the art techniques in ML and LLM, and work closely with product and engineering teams to build the next generation of the Alexa smart assistant.

Key job responsibilities

  • Rapidly prototype ML/LLM solutions, evaluate feasibility, and drive projects to production deployment
  • Continuously monitor and improve model performance through retraining, parameter tuning, and architecture refinements
  • Develop new training and inference techniques to improve model performance
  • Work crossfunctionally across engineering, product, and business teams to understand customer needs, scope science work, and drive science solutions from conception to customer delivery
  • Research and develop LLM innovations, and lead paper publications.
  • Code proficiently in Python (required) and Java (preferred); optimize systems for high performance at scale; contribute code directly into production services
  • Innovate and develop science and engineering solutions that optimize team operations and increase team effectiveness.
  • Clearly communicate complex technical concepts to nontechnical stakeholders and leadership
Vancouver, BC, CAN

  • 3+ years of handson predictive modeling and large data analysis experience
  • 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, disability, age, or other legally protected status.

If you would like to request an accommodation, please notify your Recruiter.