Jobs in Canada

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Added 1 day ago
GV
Senior Gen AI Applications Architect
GE Vernova
Markham, ON
- $126,000 to $189,000 CAD / year
- Full-time
We are seeking a highly skilled Senior AI/ML Applications Architect to lead the design, development, and deployment of advanced machine learning, generative AI, and agentic AI solutions.…
Added 1 day ago
GE
Senior Gen AI Applications Architect
GEPR Energy Canada Inc
Markham, ON
- $126,000 to $189,000 CAD / year
- Full-time
We are seeking a highly skilled Senior AI/ML Applications Architect to lead the design, development, and deployment of advanced machine learning, generative AI, and agentic AI solutions.…
Added 1 day ago
SI
Senior Machine Learning Engineer, Premium Discovery
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
- Hybrid
We're looking for a Senior Machine Learning Engineer to own recommendations for Fable and grow into the technical lead for Premium recommendations.
Added 1 day ago
AI
Lead AI Engineer
Axya Inc.
Montréal, QC
- Full-time
- On-site
Our product is only as good as the AI behind it. As Lead AI Engineer, you will own the technical direction and quality of Axya's AI systems: how they reason over messy enterprise data, how…
Added 1 day ago
A
Lead Data Engineer
Altis
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
If you're an experienced Data Engineering Lead with strong SQL, Python, and Apache NiFi expertise who enjoys solving complex data challenges and leading technical development, we'd love to…
Added 1 day ago
CI
Senior Software Engineer, AI Automation
Coalition, Inc.
Canada
- $134,600 to $199,600 CAD / year
…operate. As a Senior Software Engineer, AI Automation, you will lead the design and delivery of reliable, production-grade AI agents and workflows that solve meaningful business…
Added 1 day ago
D
Dynamic Analysis Engineer
DOF
Paradise, NL
- Full-time
Lead project/tender/study installation analysis scopes and ensure assigned work is compliant with DOF’s standards, client requirements, government regulations, and industry standards.
Added 1 day ago
RC
Senior DevOps/Cloud Engineer
Randstad Canada
Toronto, ON
- Contract
…workflows and develop infrastructure-as-code using JavaScript and Python AWS CDK. You will be responsible for orchestrating containerized workloads, serverless frontends, automated data…
Added 1 day ago
C1
Senior Data Scientist
Company 19 - John Hancock Life Insurance Company (U.S.A.)
Toronto, ON
- Full-time
…Abuse (FWA) Advanced Analytics team. In this role, you will lead the design and deployment of high impact machine learning and AI solutions - combining traditional statistical modeling with…
Added 1 day ago
Data Integration Lead
HEXAWARE
Canada
…engineering, or analytics workflows. o Experience in pyspark, ADF, o Python experience o Hands-on experience with SQL, Specialized in modernizing legacy on-premise systems into cloud-native…
Added 1 day ago
Cloud security engineer
National Money Mart Company
Toronto, ON
Automate security with Terraform, CloudFormation, and scripting (Python, Bash, PowerShell)
Added 1 day ago
C1
Lead Engineer, Agentic Solutions & Automation
Company 19 - John Hancock Life Insurance Company (U.S.A.)
Toronto, ON · Waterloo, ON
- Full-time
The Lead Engineer, Agentic Solutions & Automation will be a key member of the team responsible for advancing agentic platforms and intelligent automation across North American Wealth at…
Added 1 day ago
B
VP - Geosciences
Brunel
Richmond, BC
- $240,000 to $290,000 CAD / year
- Full-time
Brunel is seeking an accomplished Vice President, Geosciences to lead a multidisciplinary team of geophysicists, geoscientists, data scientists and technical analysts. This senior…
Added 1 day ago
Senior Engineer, Competitive Benchmarking & Performance
Elastic
Canada
…organizations. We are seeking a Senior Software Engineer to lead competitive benchmarking initiatives within the Elasticsearch Performance…
Added 1 day ago
M
Cloud Solution Architect - Factory
Microsoft
Vancouver, BC · Toronto, ON · Ottawa, ON
- $69,600 to $132,500 CAD / year
- Full-time
- On-site
Lead Technical Program Management: Use a factory model to deliver at scale. Build awareness of the program and demand for it across the regional operating units.
Added 1 day ago
UO
Data Analyst and Evaluation Specialist
University of Waterloo
Waterloo, ON
- Full-time
Added 1 day ago
RC
Senior DataOps/Cloud Data Engineer
Randstad Canada
Toronto, ON
- Contract
Assignment Type: Onsite (5 days per week)
Added 1 day ago
Manager, API Architecture, Deloitte Global Technology
Deloitte
Toronto, ON
…professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our…
Added 1 day ago
AI
Sr. Staff Physical Design Engineer
AMD, Inc.
Vancouver, BC
- Full-time
…and final signoff. The role also provides opportunities to lead technical execution, establish design methodologies, improve automated design flows, and mentor other…
Added 1 day ago
ML
Senior Information Security Specialist
Manitoba Liquor & Lotteries
Winnipeg, MB
- $40.3 to $50.54 CAD / hour
- Full-time
…resource within the Information Security Department, the position lead aspects of the security program, conduct, and review complex security assessments, as well as provide specialized…
Added 1 day ago
E
Senior Analyst - Subsurface Innovation - 26352
Enverus
Calgary, AB
- Full-time
The energy industry is changing fast. But we’ve continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power…
Added 1 day ago
AI Data Developer II, Professional Services, Google Cloud
Google
Toronto, ON
As a Data Developer, you'll guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and…
Added 1 day ago
A
Senior AI Engineer
AXIS
Halifax, NS
- Full-time
Mentor engineers, lead technical enablement sessions, and promote strong engineering practices across the team.
Added 1 day ago
NQ
Associate quantum hardware physicist – l1
Nord Quantique
Sherbrooke, QC
- $105,000 to $122,000 CAD / year
- Full-time
Lead and execute experimental projects to push hardware capabilities
Added 1 day ago
H
VDC Manager – Mechanical Construction
Hays
Ottawa, ON
- $100,000 to $130,000 CAD / year
- Full-time
…delivery, they are looking to hire an experienced VDC Manager to lead their Virtual Design and Construction…

Scribd, Inc.

Senior Machine Learning Engineer, Premium Discovery

Toronto, ON, Canada
Vancouver, BC, Canada

Hybrid

Full-time

Apply on jobs.ashbyhq.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Hybrid
Posting language: English
Posted: Oct 22, 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

Premium is the Scribd Inc. pillar behind two reading products: Everand, the audiobook and ebook subscription app, and Fable, the social app where readers track, discuss and discover books. Helping readers find their next book is central to both, so search and recommendations sit at the heart of the products.

You'll join Premium's new Discovery squad. It's a small, dedicated group of recommendations, search, applied research and ML engineers working full time on discovery for Everand and Fable. The squad works closely with Orion, Scribd's ML platform team. Orion runs the feature store, model registry, embedding-based retrieval and model serving behind discovery across Scribd, Slideshare and Everand.

Role overview

We're looking for a Senior Machine Learning Engineer to own recommendations for Fable and grow into the technical lead for Premium recommendations.

Fable's recommender today is a collaborative-filtering model built in house. It has served readers well, but it has no real-time signals and no learned ranking, and it can't recommend to new or lapsed readers. Your first big project is to move Fable onto Orion, so Fable and Everand share a modern recommendation stack.

Key responsibilities

Lead the migration of Fable's recommendations onto Orion, covering data, features, training, serving and experiments, while keeping today's recommendations running.
Extend Orion's rankers, feature store and embedding-based retrieval to support Fable, in partnership with the Orion ML platform team.
Own the health of Fable's recommendation systems in production: quality, latency, cost and on-call.
Bring Fable's social signals (shelves, ratings, reviews, book clubs, reader similarity) into recommendations for both Fable and Everand.
Design and analyze A/B tests with product managers and analysts to decide what ships.
Act as technical lead for Premium recommendations. Shape the roadmap with product managers, and see work that depends on other teams' systems through to delivery.
Raise the bar on engineering practice in the squad through design reviews, code quality and operational readiness.

Tech you'll work with

You'll work across two stacks: Fable's on Google Cloud and Orion's on AWS.

Fable: Python (FastAPI, Django), PostgreSQL, BigQuery, Kubernetes, Google Cloud including Vertex AI
Orion and Everand: Python, Go and gRPC, Ruby on Rails, Databricks and Spark, Airflow, AWS SageMaker, Weaviate for embedding-based retrieval, feature store and model registry
Infrastructure: AWS (EKS, ECS, Lambda, SQS, ElastiCache), Datadog, Terraform

Requirements

Must have

5+ years as a professional ML or software engineer, with a track record of shipping production ML systems.
Hands-on experience building and running recommender systems in production, such as collaborative filtering or matrix factorization, two-tower or embedding retrieval, and learned ranking.
Experience with large-scale data processing (Spark, Databricks, BigQuery or similar).
Experience on at least one major cloud (AWS or GCP), including deploying services on containers (Kubernetes, ECS or similar).
Experience designing and analyzing online experiments.
A record of leading projects that depend on other teams, and of working directly with product managers.
Bachelor's or Master's degree in Computer Science, or equivalent professional experience.

Nice to have

Google Cloud experience, especially Vertex AI and BigQuery.
Experience migrating or replacing a production ML system while keeping it running.
Social or graph-based recommendations, such as user similarity, follows or groups.
Search and semantic retrieval (Elasticsearch, Vertex AI Search, vector databases).
Experience on consumer apps for reading, media or social.

----------------------------------------------------------------------------------------------- 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 $170,000 [minimum salary in our lowest geographic market within California] to $265,000 [maximum salary in our highest geographic market within California].

In the United States, outside of California, the reasonably expected salary range is between $140,000 [minimum salary in our lowest US geographic market outside of California] to $252,000 [maximum salary in our highest US geographic market outside of California].

In Canada, the reasonably expected salary range is between 179,000 CAD[minimum salary in our lowest geographic market] to 237,500 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.

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

The Senior Machine Learning Engineer at Scribd will move Fable's book recommendations onto a shared modern stack while keeping them running. They will own production recommendation quality, run A/B tests with product managers, and lead Premium recommendations technically.

Requirements

Candidates need 5+ years as a professional ML or software engineer, with production recommender systems experience, large-scale data processing and online experiment design. A Bachelor's or Master's in Computer Science or equivalent experience is required.

Skills

Python
FastAPI
Django
PostgreSQL
BigQuery
Kubernetes
Google Cloud
Vertex AI
Go
gRPC
Ruby on Rails
Databricks
Spark
Airflow
AWS SageMaker
Weaviate
AWS EKS
AWS ECS
AWS Lambda
AWS SQS
ElastiCache
Datadog
Terraform
Collaborative filtering
Matrix factorization

Benefits

Scribd Flex flexible work model
Health, dental and vision coverage
Mental health support and disability coverage
Paid time off, sick time, holidays and sabbaticals
Paid parental leave
Retirement matching and employee equity
Learning and development programs
Wellness and home office stipends
Complimentary access to Scribd products
Enterprise access to AI tools

Keywords

machine learning engineer
recommender systems
recommendation engine
collaborative filtering
matrix factorization
two-tower model
embedding retrieval
learned ranking
feature store
model registry
model serving
A/B testing
online experiments
Spark
Databricks
BigQuery
Python
Google Cloud
Vertex AI
AWS

Seniority

Senior

Perks

Generous paid time off
Flexible hours
Parental leave
Retirement plan
Stock or equity
Wellness program
Remote work allowance

Tools

Python
Spark
Databricks
BigQuery
Kubernetes
Vertex AI
SageMaker
Weaviate
Airflow
Datadog

Languages

English

Fields of study

Computer Science

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Work requirements

Jobs in Canada