Sr. Applied Scientist, Sales AI

Amazon Development Centre Canada ULC - K03; Toronto; On-site; CAD 100,000 - 150,000; Full time

Job summary

A leading technology firm in Toronto seeks a Senior Machine Learning Lead to drive innovation in advertising technologies. You will lead cutting-edge research in AI, guide model implementation, and impact customer experiences. Ideal candidates have extensive experience in machine learning, data analysis, and strong programming skills. This role offers the chance to work within a dynamic team solving complex challenges in a fast-paced environment.

Benefits

Inclusive workplace culture

Qualifications

• 5+ years of experience in building machine learning models for business applications.
• PhD or Master's degree with 6+ years of applied research experience.
• Experience with neural deep learning methods.

Responsibilities

• Lead research on new Machine Learning and AI solutions for the Ad Sales business.
• Guide technical approaches for designing and implementing successful models.
• Conduct deep data analysis and run A / B experiments.

Skills

Machine learning model development

Data analysis

Statistical analysis

Communication

Education

PhD or Master's degree in a relevant field

Tools

Java

C++

Python

R

TensorFlow

Job description

Overview

As a part of our team, you will bring deep expertise in quantitative modeling (forecasting, recommender systems, reinforcement learning, causal inferencing or generative artificial intelligence) to build and refine models that can be implemented in production. You will be a thought leader as we chart new courses with our ad sales support technologies, and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers. As a senior lead, you will have the excitement to take iterative approaches to tackle big, long-term problems.

Why you will love this opportunity

Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon\'s Retail and Marketplace businesses. We deliver billions of ads impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit with a broad mandate to experiment and innovate.

Impact and Career Growth

You will invent new experiences and influence customer-facing shopping experiences; this is your opportunity to work within the fastest growing businesses across all of Amazon! Define a long-term scientific vision for our advertising sales business, driven from our customers\' needs, translating that direction into specific plans for scientists, engineers and product teams. This role combines scientific leadership, organizational ability, technical strength, product focus, and business understanding.

Responsibilities

• Conceptualize and lead state-of-the-art research on new Machine Learning and Generative Artificial Intelligence solutions to optimize all aspects of the Ad Sales business
• Guide the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects
• Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities
• Run regular A / B experiments, gather data, and perform statistical analysis
• Work closely with software engineers to deliver end-to-end solutions into production
• Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving

About the team

Sales AI is a central science and engineering organization within Amazon Advertising Sales that powers selling motions and account team workflows via state-of-the-art AI / ML services. Sales AI is investing in a range of sales intelligence models, including the development of advertiser insights, recommendations and Generative AI-powered applications throughout account team workflows.

Basic Qualifications

• 5+ years of building machine learning models for business application experience
• PhD, or Master\'s degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

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.

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.