Generative AI Scientist: Fulfillment Optimization

Amazon; Vancouver; On-site; CAD 100,000 - 140,000; Full time

Job summary

A global technology company in Metro Vancouver is seeking an Applied Scientist II to develop and implement machine learning solutions that optimize fulfillment processes. The ideal candidate will have a strong background in machine learning, data mining, and algorithms. Responsibilities include designing ML models, researching new techniques, and collaborating with engineering teams. This position offers a chance to impact billions of dollars in business across multiple markets, fostering a collaborative and innovative environment.

Benefits

Health insurance

Registered Retirement Savings Plan (RRSP)

Paid time off

Qualifications

• 3+ years of experience building models for business applications.
• Experience in algorithms and data structures, numerical optimization, and high-performance computing.
• Experience in state-of-the-art deep learning model architecture design.

Responsibilities

• Design, develop, and evaluate tailored ML/AI models for complex business problems.
• Research and apply the latest ML/AI techniques.
• Develop frameworks for evaluation and validation of AI agents.

Skills

Machine Learning Models

Generative AI solutions

Data Mining

Deep Learning

Algorithms

Education

PhD or Master’s degree in CS, CE, ML or related field

Tools

TensorFlow

MXNet

Unix/Linux

Job description

A global technology company in Metro Vancouver is seeking an Applied Scientist II to develop and implement machine learning solutions that optimize fulfillment processes. The ideal candidate will have a strong background in machine learning, data mining, and algorithms. Responsibilities include designing ML models, researching new techniques, and collaborating with engineering teams. This position offers a chance to impact billions of dollars in business across multiple markets, fostering a collaborative and innovative environment.