Find work in Canada.

326,821 jobs across our Canadian network. How we count

Jobs in Canada

Save this search

Added 13 days ago
Java Full stack Developer
Aarorn Technologies Inc
Toronto, ON
$50 CAD / hour
Contract
Extensive experience in developing and maintaining applications using Scala/Java. Proficient in building scalable and robust applications using Spring Framework (Spring Core, Spring MVC,…
Added 13 days ago
Core Java Developer
Aarorn Technologies Inc
Montreal, QC
$50 CAD / hour
Contract
Well-versed in Core Java (1.8 and above preferable, with knowledge of new features like Executor framework, Generics, etc.)
Added 13 days ago
Java Microservices Developer
Aarorn Technologies Inc
Mississauga, ON
$60 CAD / hour
Contract
Design, develop, and maintain high-quality Java applications using Spring Boot, Gradle.
Added 13 days ago
Senior Full Stack .NET Developer
Techso
Montreal, QC
Full-time
Techso is looking for a Senior Full Stack .NET Developer to help design and develop digital solutions used by our clients across Canada.
Added 13 days ago
PLM Functional Analyst – Teamcenter
Techso
Montreal, QC
Full-time
At Techso, we value the quality of our projects and relationships over volume. Our core values - Fun, Trust, Efficiency, and Quality - guide both the way we work with our clients and how we…
Added 13 days ago
Senior Full Stack Java Developer
Techso
Montreal, QC
Full-time
Techso is looking for a Senior Full Stack Java Developer to help design and develop digital solutions used by leading clients in Montreal and internationally.
Added 1 month ago
Quality Management and Data Support Specialist
Municipal Property Assessment Corporation
Pickering, ON
Full-time
Experience in at least one general programming and/or scripting language such as Java, Python, C++, SQL, etc; and proficient with GIS and visualization tools such as QGIS, ArcView,…
Added 23 days ago
Senior Java Developer
Cognizant
Toronto, ON
Full-time
As a Senior Java Developer, you will make an impact by designing, developing, and maintaining scalable Java-based applications and services that power high-performance, customer-facing…
Added 1 month ago
Application Engineer, Integrations (SAP)
Arc'teryx Equipment
North Vancouver, BC
$80,000 to $100,000 CAD / year
Full-time
If you were the Integration Developer (SAP) now, here are some of the core activities you would be doing:
Added 29 days ago
Technical Director, Live Games
Big Viking Games
Toronto, ON
$180,000 to $220,000 CAD / year
Full-time
The work spans the full stack: TypeScript and HTML5 on the client, a custom WebGL rendering layer, Java real-time game servers, PHP backend services, MySQL, Redis, Memcached, RabbitMQ,…
Added 16 days ago
Java Full Stack Developer – Snowflake & Angular
Wissen Technology
Montreal, QC
Full-time
Role: Java Full Stack Developer – Snowflake & Angular
Added 16 days ago
Senior Java Software Engineer
Intellect Design Arena Ltd
Toronto, ON
$105,000 to $120,000 CAD / year
Full-time
We are seeking a strong Java Tech Lead with proven experience in delivering scalable microservices and cloud based applications. The ideal candidate will be responsible for leading…
Added 16 days ago
Architecte logiciel
Highspring
Montreal, QC
Full-time
Added 17 days ago
Full stack Developer
Tata Consultancy Services
Mississauga, ON
$100,000 to $120,000 CAD / year
Full-time
1. Backend Expertise: Strong proficiency in Java with comprehensive hands-on experience Spring boot, Microservices,
Added 12 days ago
Lead Software Engineer (JAVA, API)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
Expert-level knowledge of Java and Spring Boot
Added 17 days ago
Developer, Digital Team
Toronto Police Service
Toronto, ON
Temporary
The Toronto Police Service is looking for a candidate that shares our core values:
Added 17 days ago
QE with Contact Center Tools & Amazon Connect
PeoplePilot
Toronto, ON
Full-time
The ideal candidate will have hands-on experience with contact center technologies and automation testing across UI and APIs, along with strong Java programming skills.
Added 12 days ago
Curam Development Lead
Accenture
Calgary, AB · Vancouver, BC · Winnipeg, MB · Ottawa, ON · Toronto, ON · Montreal, QC
Full-time
Proficiency in Java, J2EE, and web technologies.
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 12 days ago
Software Developer
Ericsson
Mississauga, ON · Ottawa, ON
Full-time
We are currently seeking a passionate and skilled Software Developer to join our multi-functional Research and Development team and part of a larger Global Organization to developing…
Added 13 days ago
Software Engineer II, Machine Learning - Slack
Salesforce
Toronto, ON · Canada - Toronto
Full-time
…world through AI, driving innovation, and keeping Salesforce's core values at the heart of it…
Added 13 days ago
Software Engineer II, Machine Learning - Slack
Slack
Toronto, ON · Canada - Toronto
Full-time
…world through AI, driving innovation, and keeping Salesforce's core values at the heart of it…
Added 13 days ago
Senior Java Full Stack Developer - Vice President
Citi
Mississauga, ON
Full-time
…brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments, and accessing the capital markets on behalf of our…
Added 13 days ago
Senior Java Full Stack Developer – Vice President
Citi
Mississauga, ON
Full-time
…brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments, and accessing the capital markets on behalf of our…
Added 13 days ago
Senior Developer – Salesforce Integrations
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking a Senior Salesforce Integration Developer to design, develop, and maintain API-based integrations between Salesforce and enterprise systems using MuleSoft. You will play a…

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