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Data Science Natural Language Processing Jobs in Toronto, ON

... science-backed services that drive success for our customers. Our goal is to transform the way ... expertise in Natural Language Processing (inc. tokenization, syntactic parsing, named entity ...

... data pipelines * Background in natural language processing (NLP) research or advanced AI techniques ... Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages ...

... natural language processing. * Experience with data preprocessing, model training, and evaluation ... Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages ...

Credit Risk Expert & Strategic Builder We are looking for a hands-on, data-obsessed Data Science ... core processes, and make a visible impact as Fig continues to grow. Culture matters deeply to us.

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our ... Proficiency in SQL and a computing language such as Python or R * Experience in working with cross ...

Degree in a STEM discipline (Data Science, Statistics, Computer Science, or a related quantitative ... Familiarity with deploying Large Language Models (LLMs) or retrieval-augmented generation (RAG ...

AI Engineer Intern

Toronto, ON · Hybrid

CA$20 - CA$30/hr

... Data Science, Software Engineering, or a related field. * Strong programming skills in Python. * Good understanding of machine learning, natural language processing, and LLM fundamentals.

... science-backed services that drive success for our customers. Our goal is to transform the way ... and you leverage Natural Language Processing and Generative AI models to enhance their ...

Lead end-to-end data science projects of moderate scope, from problem framing through analysis and ... Partner with subject matter experts to understand business processes, data sources, customer ...

Experience collaborating with applied data scientists to translate research work in production ... Exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named ...

Showing results 41-60

Data Science Natural Language Processing information

Infographic showing various Data Science Natural Language Processing job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Applied Scientist, Sales AI

Toronto, ON

Amazon
IT Services • 10K+ employees

Full-time

Re-posted 28 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,162 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

Are you interested in shaping the future of Advertising and B2B Sales. We are a growing team with an exciting AI-first charter and need your passion, innovative thinking, and creativity to help take our products to new heights.
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth

We break fresh ground in product and technical innovations every day!
Within the Advertising Sales organization, we are building a central AI/ML team and are seeking top Applied Science talent to help us build new, science-backed services that drive success for our customers. Our goal is to transform the way account teams operate by creating AI agents that help optimize their end-to-end workflows, and developing
actionable insights and recommendations they can share with their advertising accounts
As an Applied Scientist on the team with a specific focus on creating autonomous AI agents that can operate accurately at large scale, you will bring deep expertise in Natural Language Processing (inc. tokenization, syntactic parsing, named entity recognition (NER), sentiment analysis, text classification), Large Language Models (inc.

foundation model fundamentals, post-training, reward modeling, RAG, transformer architecture), Deep Learning, Reinforcement Learning and/or Recommender Systems. You have the scientific and technical skills to build and refine models that can be implemented in production and you continuously measure the performance of your system to drive continuous improvements. You will contribute to 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.

You will be part of a team of fellow scientists and engineers taking on iterative approaches to tackle big, long-term problems. You are fluently able to leverage the latest Generative AI systems and services to accelerate and improve your work while maintaining high quality in your work outputs.
Key job responsibilities
Scientific Modeling
- Conceptualize and lead state-of-the-art research on new Reinforcement Learning, Deep Learning, NLP, LLM, (Generative) Artificial Intelligence and Recommender System solutions to create AI agents and optimize all aspects of the Ad Sales business
- Lead the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects
- Run regular A/B experiments, gather data, and perform statistical analysis
- Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving
- Publish scientific findings in reports and papers that can be shared internally and externally
Product Development Support
- Partner with software engineering and product management teams to support product and service development, define success metrics and measurement approaches, and help drive adoption of innovative new features for our services.
- Lead requirements gathering sessions with product teams and business stakeholders
- Maintain scientific documentation and knowledge for product initiatives
Collaboration & Communication
- Work closely with software engineers to deliver end-to-end solutions into production
- Translate complex scientific findings into actionable business recommendations for stakeholders and senior management
- Provide clear, compelling reports and presentations on a regular basis with respect to your models and services
- Communicate with internal teams to showcase results and identify best practices.
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 of 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.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US