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Added 6 months ago
L
Senior Data Engineer - Gen AI
LTM
Ontario · Ontario, Canada
- $100,000 to $110,000 USD / year
- Full-time
6-10 years of relevant experience in Apps Development or systems analysis role
Added 6 months ago
IA
Full Stack Developper
Iconic Art AI
Montreal, Quebec
- $70,000 to $90,000 CAD / year
- Full-time
We are seeking an experienced Full Stack Developer to contribute to the development of our application portfolio. In this role, you will work on both front-end and back-end components of a…
Added 6 months ago
Q
Staff AI Software Engineer (C++)
Qualcomm
Markham, Ontario
- Full-time
Development of software tools for profiling, and debugging to support rapid deployment of new neural networks in this fast changing field
Added 1 month ago
Machine Learning Engineer
Stripe
Toronto, ON
5+ years of experience in full time software development roles
Added 3 months ago
MS
Tech Lead - Commodities Technology (Hybrid)
Morgan Stanley
Montreal, Quebec
- Full-time
Work across the full software development lifecycle, from problem analysis and solution design through hands-on coding, delivery, and production support
Added 1 month ago
AI Security Specialist
CAA Club Group
Thornhill, ON
Support the development and ongoing maintenance of AI security standards, policies, and acceptable use guidelines.
Added 3 months ago
FA
Software Engineer - Data
Forum Asset Management
Toronto, Ontario
- Full-time
…Alignvest Student Housing, making us the largest owner and developer of Purpose-Built Student Accommodations (PBSA) in Canada. Our open-ended Real Estate Income and Impact Fund (REIIF) is…
Added 3 months ago
DI
AI Engineering Lead
Definity Insurance Company
Toronto, Ontario
- Full-time
Define and execute the long-term technical strategy for AI-driven business solutions. Lead the architecture and development of scalable, real-time AI systems that address key challenges and…
Added 3 months ago
GD
Technical Sales Manager
General Dynamics Missions System International
Ottawa, Ontario · Calgary, Alberta
- Full-time
…value deals. This role demands a deep grasp of the technology (software, hardware, or integrated systems), the ability to translate technical features into business benefits, and a…
Added 3 months ago
SI
Data Scientist II
Scribd, Inc.
Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
We act as a key driver for innovation, whether it’s in product surface experimentation, metadata generation or model development. Along with Product and Engineering partners, we design…
Added 1 month ago
Q
Technical Program Manager
Quantiphi
Canada
- Full-time
Lead cross-functional teams (ML engineers, software engineers, DevOps, data scientists) for effective AI execution.
Added 1 month ago
C
Group Product Manager, AI Platform
Caseware
Toronto, ON
- $145,000 to $160,000 CAD / year
- Full-time
Caseware is one of Canada's original Fintech companies, having led the global audit and accounting software industry for over 30 years, with more than 500,000 users across 130 countries and…
Added 2 months ago
OW
Oliver Wyman - Senior Lead AI Developer
Oliver Wyman
Montreal, QC
- Full-time
…unprecedented products across industries. As a Senior Lead AI Developer, you are primarily responsible for managing technical projects and helping teams design and build AI/ML systems and…
Added 1 month ago
SS
Test Engineering Co-op
Skyworks Solutions, Inc.
Ottawa, ON
- Full-time
Skyworks is seeking a motivated and detail-oriented Test Engineering Co-op student to support the development, validation, and deployment of automated test solutions for advanced RF and…
Added 1 month ago
G
Prompt Engineer
Genpact
Montreal, QC
- $70,000 to $75,000 CAD / year
- Full-time
…ML and Gen AI. The candidate should be familiar with python development, predictive analytics and prompt engineering. The candidate should be able to work with different Clients/SME’s and…
Added 1 month ago
D
Principal Solutions Architect, Professional Services (West Coast Preferred)
Docker
Remote, Canada
- Full-time
- Remote
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of…
Added 1 month ago
Staff Machine Learning Engineer
OpenTable
Toronto, ON
7+ years of professional software engineering experience, with a substantial portion spent building and operating machine learning systems in production.
Added 3 months ago
M
NEW AI Deployment Strategist
Mistral
Montreal, Quebec
- Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 4 months ago
M
{NEW} Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
- Full-time
- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
Added 3 months ago
C
AI Engineer
Cprime
Toronto, Ontario
- Contract
8-10 years of relevant experience in Apps Development or systems analysis role.
Added 3 months ago
TH
Senior AI Engineer - Full time
Trillium Health Partners
Mississauga, Ontario
- Full-time
Manage the end-to-end lifecycle of AI solutions from design and development, to implementation and sustainability, using a product design mindset.
Added 1 month ago
Senior Mobile Product Developer, Growth
HelloFresh
Toronto, ON
As a Senior Mobile Developer, you’ll join a cross-functional team building features that empower both customers and internal stakeholders. You’ll contribute to developing high-quality…
Added 3 months ago
CF
Senior AI Engineer
CI Financial
Toronto, Ontario
- Full-time
Design, prototype, and lead development of agentic AI systems capable of multi-step reasoning, task decomposition, and tool use to automate and support complex business workflows.
Added 1 month ago
Staff Data Scientist
Toast
Canada
As a Staff Data Scientist, you’ll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest…
Added 5 months ago
C
Geophysicist
CSMC
Waterloo, ON
- Full-time
CSMC is seeking a Geophysicist to support the development and application of next-generation sensing technologies for subsurface characterization and resource exploration. In this role, you…

Scribd, Inc.

Data Scientist II

Vancouver, BC, Canada
Ottawa, ON, Canada
Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 3+ years of post qualification experience developing machine learning models, working with systems at scale and deploying to production environments.
Posting language: English
Posted: Jul 10, 2026

Original job description

Scribd, Inc. is on a mission to advance human understanding. Our four products - Scribd®, Slideshare®, Everand™, and Fable - help billions of people across the globe move beyond access and into insight, application, and expertise.

Culture at Scribd, Inc.

We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.

We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.

So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude.

This posting reflects an approved, open position within the organization.

About the team

The Applied Research team is a group of data scientists and content specialists who are experts in leveraging machine learning, natural language processing and generative AI models to develop solutions which deliver value to our users and business.

We act as a key driver for innovation, whether it’s in product surface experimentation, metadata generation or model development. Along with Product and Engineering partners, we design solutions and collaborate in cross-functional squads to maximize business impact.

Our areas of impact include content enrichment, representation learning, recommendations, search, translation and many others, applied to diverse media across text, image, and audio. We operate at a scale of hundreds of millions of documents, millions of users and billions of user interactions.

Role Overview

We are seeking a Data Scientist II with experience developing and deploying machine learning models. You will help design and implement high impact AI and ML systems. We work in cross-functional teams collaborating with Machine Learning Engineers, Data Engineers and Product. We are seeking a curious and collaborative individual with an eye for simplicity, end-end visibility and impact and that is excited about building models using massive amounts of data, using language models and deploying models.

Responsibilities

Focus on a variety of content classification use cases, leveraging everything from traditional NLP to sophisticated LLMs and generative models
Investigate methods of solving our most challenging problems at Scribd, Inc. at scale
Collaborate with other Data Scientists, Machine Learning Engineers and ML Data Engineers on cross-functional projects
Leverage any algorithm at your disposal: from classical Scikit-learn and NumPy models to custom Neural Networks in PyTorch to third party LLM APIs
Process massive amounts of data with Python, SQL and Spark
Align with stakeholders through written and verbal communications methods on the approaches and results of projects, while writing detailed, accurate and concise project documentation

Requirements

3+ years of post qualification experience developing machine learning models, working with systems at scale and deploying to production environments.

Proficiency in Python.
Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar.
Intermediate level in at least three of these fields: classification algorithms, natural language processing, search, information retrieval, named entity recognition, deep learning, generative models.

Intermediate level or greater experience with SQL or PySpark.

Bachelors or Masters in relevant quantitative discipline including but not limited to Statistics, Computer Science, Data Science, Artificial Intelligence or another field with a strong quantitative focus.

At Scribd, Inc. your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $118,000 [minimum salary in our lowest geographic market within California] to $184,000 [maximum salary in our highest geographic market within California].

In the United States, outside of California, the reasonably expected salary range is between $97,000 [minimum salary in our lowest US geographic market outside of California] to $175,000 [maximum salary in our highest US geographic market outside of California].

In Canada, the reasonably expected salary range is between $123,000 CAD[minimum salary in our lowest geographic market] to $150,000 CAD[maximum salary in our highest geographic market].

We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.

Working at Scribd, Inc.

Are you currently based in a location where Scribd, Inc. can employ you?
Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:

United States:

Canada:

Ottawa | Toronto | Vancouver

Mexico:

Mexico City

Benefits at Scribd, Inc.

Scribd Flex (flexible work model)
Comprehensive health, dental, and vision coverage
Mental health support and disability coverage
Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
Paid parental leave and family support benefits
Retirement matching and employee equity
Learning and development programs and professional growth opportunities
Wellness and home office stipends
Complimentary access to the Scribd, Inc. suite of products
Enterprise access to leading AI tools

Get to Know Scribd, Inc.
About Scribd, Inc.
Life at Scribd, Inc.

We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.

If you apply for a job with Scribd, Inc. or otherwise engage with us in connection with employment (including as an employee, contractor, or other personnel), the personal information we process in that context is subject to our Employee and Applicant Privacy Policy, which is available here.

Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

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More about this job

Responsibilities

Develop and deploy high-impact AI and ML systems focusing on content classification using NLP and generative models. Collaborate with cross-functional teams to process massive datasets and document project results for stakeholders.

Requirements

Requires 3+ years of experience in ML model development and production deployment with proficiency in Python and SQL. A Bachelor's or Master's degree in a quantitative field and experience with distributed frameworks like Spark are required.

Skills

Machine Learning
Natural Language Processing
Generative AI
Python
SQL
Apache Spark
PyTorch
Scikit-learn
NumPy
Deep Learning
Information Retrieval
Named Entity Recognition
Classification Algorithms
ML Pipelines
Distributed Data Processing
LLMs

Benefits

Flexible work model
Health insurance
Dental insurance
Vision insurance
Mental health support
Disability coverage
Paid time off
Vacation
Sick time
Holidays
Winter break
Volunteer time
Sabbaticals
Paid parental leave
Family support benefits
Retirement matching
Employee equity
Learning and development programs
Professional growth opportunities
Wellness stipend
Home office stipend
Complimentary access to Scribd products
Enterprise access to AI tools

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
NLP
Generative AI
LLM
Python
SQL
PySpark
Apache Spark
Databricks
PyTorch
Scikit-learn
NumPy
Deep Learning
Information Retrieval
Named Entity Recognition
Content Classification
Representation Learning
Recommendations
Search
Translation
ML Pipelines
Distributed Computing
Quantitative Analysis
AI Systems

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