Find work in Canada.

328,638 jobs across our Canadian network. How we count

Jobs in Canada

Save this search

Added 19 days ago
Sr. Staff Infrastructure Engineer
VGS
Canada
Full-time
…with a highly consistent modern stack (e.g. AWS, Kubernetes, Java, TypeScript, Python) and world-class AI-augmented SDLC tooling. We strip away the friction so you can focus on the problems…
Added 13 days ago
Front-End Developer - Netflix Animation Studios
Netflix
Vancouver, BC
Full-time
5+ years of experience as a front-end engineer.
Added 13 days ago
Software Engineer II, Machine Learning - Slack
Salesforce
Toronto, ON · Canada - Toronto
Full-time
Slack is looking for a Machine Learning Engineer to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable…
Added 13 days ago
Software Engineer II, Machine Learning - Slack
Slack
Toronto, ON · Canada - Toronto
Full-time
Slack is looking for a Machine Learning Engineer to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable…
Added 17 days ago
Software Engineer II
Planview
Vancouver, BC
Full-time
We’re seeking an Intermediate Software Engineer to join our team in Vancouver, BC. In this role, working closely with our senior team members, you will design, implement, and test features…
Added 12 days ago
Intermediate / Senior Test Engineer
Netskrt Systems Inc.
BC
$90,000 to $120,000 CAD / year
Full-time
Netskrt is looking for a talented, results-driven Intermediate/Senior Test Engineer to join the Netskrt team. We are a highly motivated team dedicated to delivering products and services…
Added 12 days ago
Software Engineer (Full Stack)
Synpulse
Toronto, ON
We seek a skilled and experienced Software Engineer (mid-level) to join our dynamic team. You will play a pivotal role in the design, development, and implementation of software solutions…
Added 17 days ago
Lead IAM Quality Assurance Engineer
EPAM Systems
Canada
Full-time
The Lead IAM Quality Assurance Engineer is responsible for ensuring the quality, security, and compliance of Identity and Access Management (IAM) solutions across enterprise applications…
Added 17 days ago
Lead Java Developer
EPAM Systems
Canada
Full-time
We are looking for a hands-on Lead Java Developer with 12+ years of experience to drive the backend architecture and development of a key Dynamic Portfolios platform for a leading Wealth…
Added 17 days ago
Senior Software Test Automation Engineer (Java)
EPAM Systems
Canada
Full-time
Join EPAM to engineer solutions that matter. From AI to cloud transformation, you'll collaborate with top-tier innovators, gain autonomy to explore your ideas, and grow your skills in a…
Added 17 days ago
Automation Tester
HCLTech
Vancouver, BC
$70,000 to $90,000 CAD / year
Full-time
Selenium with Java or Python. Any other automation tools experince works as well.
Added 13 days ago
Engineer, DevOps
Recurrent Energy
Kitchener, ON · CA Kitchener
Full-time
The DevOps Engineer is responsible for automating and integrating the processes needed to deploy and manage software applications and systems. This role involves collaboration with…
Added 13 days ago
Senior Software Engineer
Generac Power Systems
Toronto, ON · Canada - Toronto
Full-time
We also use Java, Python, and JavaScript, and value choosing the right tool for the job.
Added 18 days ago
Salesforce QA Automation Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
Job Description: Salesforce QA Automation Engineer
Added 13 days ago
Software Development Engineer, Tax Engine
Amazon
Vancouver, BC
…skills, be self-driven and deliver high quality results in our Java, Linux and AWS-based…
Added 12 days ago
Mobile Software Engineer Intern/Co-op (Winter 2027)
TD
Toronto, ON
Full-time
You will have the opportunity to work as a Software Engineer on our Mobile platforms, which includes iOS software engineering as well as Android Software engineering.
Added 12 days ago
Data Engineer Intern/Co-op (Winter 2027)
TD
Toronto, ON
Full-time
…(Data-as-a-service or DaaS). Job responsibilities for a Data Engineer Intern/Co-op may vary by area. They may include, but are not limited to the…
Added 13 days ago
Velocity - Blockchain Engineer Internship/Co-Op - Winter 2027
Scotiabank
Toronto, ON
Velocity – Blockchain Engineer Internship/Co-Op – Winter 2027
Added 13 days ago
Associate Principal Engineer - Snowflake AI Architect
Nagarro
Brampton, ON
Full-time
Drive adoption of Snowpark (Python/Java/Scala) for advanced data engineering and ML workflows.
Added 13 days ago
Software Engineer Co-op / Intern (Winter 2027)
TD
London, ON · Mississauga, ON · Toronto, ON
Full-time
Job responsibilities for a Software Engineer Intern/Co-op may vary by area. This may include, but is not limited to the following:
Added 12 days ago
Quality Engineer Intern/Co-op (Winter 2027)
TD
Mississauga, ON · Toronto, ON
Full-time
Quality Engineer Intern/Co-op will be trained and have opportunities to contribute to below responsibilities which may vary by area. This may include, but is not limited to the following:
Added 13 days ago
Android Software Developer – Infotainment OnStar
General Motors
Markham, ON
Full-time
We are seeking creative, highly motivated engineer with passion and expertise in software engineering for the position of Android Software Developer – Infotainment OnStar within GM’s…
Added 13 days ago
Velocity - Software Engineer Internship/Co-Op - Winter 2027
Scotiabank
Toronto, ON
Velocity - Software Engineer Internship/Co-Op – Winter 2027
Added 13 days ago
Software Engineer
Providius
Hamilton, ON
Full-time
We’re looking for a software engineer to join our development team. You’ll work across our platform, from backend services to user interfaces, helping build systems that need to be…
Added 24 days ago
Senior Full Stack Engineer (Application + Data)
Article
Vancouver, BC
$165,000 to $175,000 CAD / year
Full-time
…meaningful problems. This is where you come in. As a Senior Software Engineer, Full Stack, you'll design, build, deploy, and operate software solutions across our entire technology stack to…

Slack

Software Engineer II, Machine Learning - Slack

Toronto, ON, Canada
Canada - Toronto, Canada

Job type: Full-time
Posting language: English
Posted: Sep 8, 2026

Apply About employer

Applications open in a new tab.

Original job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword - it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Job Description Summary

Slack is looking for a Machine Learning Engineer to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across search, agentic systems, recommendation, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.

At Slack, that impact can be huge:
* We have over 10 million daily active users relying on our product.
* At peak usage, a million messages a minute pass through Slack.
* During the week, our users spend over a billion minutes a day active in our product.

Machine learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.
This is a practical machine learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.

What you will be doing:
* Develop ML models supporting ranking, retrieval, and generative AI use-cases.
* Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.
* Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.
* Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.
* Support in the development of sustainable data collection pipelines and management of ML features.
* Assist our skilled support team and operations team in triaging and resolving production issues.
* Mentor other engineers and deeply review code.
* Improve engineering standards, tooling, and processes.

You may be a fit for this role if you have:
* Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
* Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learn
* Experience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.
* Fine tuned LLMs or BERT models.
* An analytical and data driven mindset, and know how to measure success with complicated ML/AI products.
* Put machine learning models or other data-derived artifacts into production at scale.
* Led technical architecture discussions and helped drive technical decisions within the team.
* The ability to write understandable, testable code with an eye towards maintainability.
* Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.
* Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.
* A bachelor's degree in Computer Science, Engineering, Statistics, Mathematics or a related field, or you have equivalent training, fellowship, or work experience.

Bonus Points
* Expertise in conversational agentic systems.
* Expertise in retrieval systems and search algorithms.
* Familiarity with vector databases and embeddings.
* Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.
* Broad experience across NLP, ML, and Generative AI capabilities.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what’s possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.For Ontario-based roles, the base salary hiring range for this position is CAD 130,300 to CAD 179,200 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.This posting is to fill a vacancy on our team, unless otherwise noted.

Apply About employer

More about this job

Responsibilities

Develop and implement machine learning models for ranking, retrieval, and generative AI use-cases to enhance Slack's product features. Collaborate with cross-functional teams to build scalable data pipelines and maintain robust, reliable production systems.

Requirements

Requires experience with machine learning frameworks and proficiency in at least one programming language such as Python, Java, or Go. Candidates should have a strong background in computer science fundamentals and experience deploying ML models at scale.

Skills

Machine Learning
Python
Java
Go
Pytorch
Tensorflow
XGBoost
Apache Spark
Airflow
LLMs
Data Pipelines
Recommendation Systems
Generative AI
Distributed Systems
Information Retrieval
Software Engineering

Benefits

Health Insurance
Retirement Plan
Professional Development
Work-life Balance Resources

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Software Engineering
Slack
Salesforce
Agentforce
Python
Java
Go
PHP
Ruby
Scala
C
Pytorch
Tensorflow
Keras
XGBoost
Scikit-learn
Apache Spark
Hadoop
EMR
Map Reduce
Airflow
Dagster
Luigi
LLMs
BERT
RAG
Vector Databases
NLP
Generative AI

Report this job