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Added 12 days ago
Software Engineer II, Machine Learning - Slack
Slack
Toronto, ON
Full-time
Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
Added 12 days ago
Senior Director, Engineering - Innovation Tribe
Fitch Ratings
Toronto, ON
Full-time
Fitch Ratings is seeking a visionary Senior Director of Engineering to lead our Innovation Tribe in Toronto - a bold, strategic investment in defining the future of AI-powered financial…
Added 4 months ago
AWS Solution Architect
CGI
Toronto, ON
Full-time
Lead the design and implementation of scalable, secure, and resilient AWS cloud solutions to support modernization and migration initiatives within the banking domain.
Added 1 month ago
Staff Software Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
$180,000 to $210,000 CAD / year
Full-time
You'll lead high-impact initiatives that directly influence how petabyte-scale data is managed, observed, and optimized across hybrid and cloud ecosystems. You'll collaborate with industry…
Added 1 month ago
Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
$210,000 to $240,000 CAD / year
Full-time
…this role, you will define the long-term technical strategy, lead the most complex architectural initiatives, and represent Acceldata in the global open-source and distributed systems…
Added 13 days ago
PLM Functional Analyst – Teamcenter
Techso
Montreal, QC
Full-time
Participate in or lead Teamcenter deployments, testing activities, and system integrations;
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 16 days ago
Senior Salesforce DevOps Engineer - ITS5
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
Full-time
…or programming languages such as Python, Bash, PowerShell, Java, Apex, or comparable technologies, including integration of automation into CI/CD…
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
Technical Consultant II/III
Zafin
Toronto, ON
Full-time
Lead client workshops, technical discussions, demos, defect triage, delivery checkpoints, scope clarification, risk tracking, and stakeholder alignment.
Added 21 days ago
Applications Architect Senior
Joblinxsapp
Toronto, ON
Full-time
We are seeking a highly experienced Senior Applications Architect to lead the architecture and technology strategy for the MLITSD 360 platform and its associated sub-projects. The…
Added 16 days ago
HRIS Analyst
eTeam
Montreal, QC
Contract
End-to-End Project Leadership: Lead HRIS initiatives by partnering with both HR and non-HR business units. Act as the primary liaison between IT, end-users, and project teams, bridging the…
Added 16 days ago
Software Developer Manager
Intelerad
Canada
Full-time
7+ years of software development experience with at least 2 years in a leadership or team lead capacity
Added 16 days ago
Java Team Leader
Future Electronics
Kirkland, QC
Full-time
We are looking for a Java Team Leader who is flexible, adaptable, and highly skilled to lead and grow our development team in Montreal.
Added 16 days ago
R&D Test Manager (Software - Validation & Verification)
VIAVI Solutions
Ottawa, ON
Full-time
We are seeking an experienced and dynamic Software Development Manager to lead our Verification and Validation (V&V) engineering team. This role is crucial for ensuring the quality,…
Added 16 days ago
Copy of Co-op Winter 2027 - Software Engineering - 4-8 months
General Dynamics Mission Systems–Canada
Cole Harbour, NS
Internship
Develop, maintain, and document software in languages such as C++, C, Java, and Python.
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
Co-op Winter 2027 - Software Engineering - 8 Months
General Dynamics Mission Systems–Canada
Ottawa, ON
Internship
Experience with programming languages such as C#, Java, Kotlin, Python, or C++.
Added 16 days ago
Co-op Winter 2027 - Software Engineering Developer - 16-Months
General Dynamics Mission Systems–Canada
Calgary, AB
Internship
We are looking for a Software Developer co-op to join our International TacCIS cross-disciplinary team delivering CIS solutions for armoured vehicles programs for European NATO nations.
Added 16 days ago
Co-op Winter 2027 - Software Developer - 8 Months
General Dynamics Mission Systems–Canada
Ottawa, ON
Internship
Experience in, or interest to learn Java, Python.
Added 16 days ago
Solutions Architect – Digital Identity, Telco & Data Platforms
EnStream LP
Toronto, ON
Full-time
Lead technical discovery, architecture reviews, and solution-design sessions.
Added 12 days ago
Lead Software Engineer (JAVA, API)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
We are currently seeking a Squad Tech Lead to provide technical design, development, support and analysis for large-scale applications and systems in a new agile team within the Canadian IT…
Added 16 days ago
Senior Software Developer
Aduna Global
Montreal, QC · Greater Montreal Metropolitan Area
Full-time
As a Senior Software Developer on the Traffic Plane team, you will be a key technical contributor for the systems connecting Aduna to CSP Service Exposure APIs, aggregating and exposing…
Added 17 days ago
Co-op Winter 2027 - Software Engineering - 4-8 months
General Dynamics Mission Systems–Canada
Ottawa, ON
Internship
Develop, maintain, and document software in languages such as C++, C, Java, and Python.
Added 17 days ago
DevSecOps Developer
Lockheed Martin
Dartmouth, NS
Full-time

Slack

Software Engineer II, Machine Learning - Slack

Toronto, ON, Canada

Pay: For Ontario-based roles, the base salary hiring range for this position is CAD 130,300 to CAD 179,200 annually.
Job type: Full-time
Apply by: Oct 8, 2026
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 services.

Requirements

Requires experience with functional or imperative programming languages and common machine learning frameworks. Candidates should have a strong background in computer science fundamentals and the ability to deploy machine learning models at scale.

Skills

Machine learning
Python
PHP
Ruby
Go
C
Scala
Java
Pytorch
Tensorflow
Keras
XGBoost
Scikit-learn
Apache Spark
LLMs
Data pipelines

Benefits

Company bonus
Equity
Benefits

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Machine Learning
Slack
Salesforce
AI
CRM
Agentforce
Python
PHP
Ruby
Go
C
Scala
Java
Pytorch
Tensorflow
Keras
XGBoost
Scikit-learn
Apache Spark
Hadoop
Airflow
LLMs
BERT
Data Pipelines
Ranking
Retrieval
Generative AI
Distributed Systems
Information Retrieval

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